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Builds and operates internal AI capabilities across R&D by identifying high-value AI use cases, designing solutions, coordinating implementation, and ensuring adoption and performance.
Headquarters: Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote)
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.
Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal or The Netherlands
Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products.
AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle.
The opportunity now is to turn that energy into something more systematic.That's where you come in.
We're looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D.
This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You'll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch.
One day, you might be working with a team to understand a frustrating workflow and deciding whether a simple prompt, automation, integration, agent, or internal app is the right answer. The next, you could be improving an existing AI workflow, testing its reliability, helping coordinate access to an enterprise AI tool, or working with IT and InfoSec to make sure a new solution can scale responsibly.
You'll own the connective layer between AI strategy and day-to-day execution across R&D.
This isn't a role for someone who only wants to prototype prompts, manage project plans, or write requirements. We're looking for someone who enjoys combining systems thinking, AI fluency, user discovery, technical execution, and operational ownership—and who wants to see things through.
You'll report to our VP of Product Operations and work closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners across Typeform.
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*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.
We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.
To apply: https://weworkremotely.com/remote-jobs/typeform-ai-product-operations-lead
Lead a team of AI/ML engineers to design, build, and deliver enterprise GenAI and ML solutions while serving as primary technical advisor to C-level clients.
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions?
Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers.
This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps.
Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions.
As the AI Team Lead, you will:
What would make you a fit for the role:
It would also be a plus if you match some of the following:
Being a part of the Netcompany team, you will be provided with:
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you’ll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
Lead enterprise clients through AI governance assessments, design governance frameworks and operating models, and establish AI risk management policies and approval processes.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
phData is seeking an AI Governance Leader to join our Advisory team. You’ll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You’ll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData’s Intelligence Platform strategy.
Core Responsibilities
Client Delivery & Execution
Client Leadership & Account Growth
Thought Leadership & Practice Development
Required Qualifications
Preferred Qualifications
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Leads AI/ML engineering teams delivering GenAI and ML solutions to enterprise clients, advises senior stakeholders on AI adoption strategies, and oversees end-to-end pipeline architecture and implementation.
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions?
Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers.
This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps.
Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions.
As the AI Team Lead, you will:
What would make you a fit for the role:
It would also be a plus if you match some of the following:
Being a part of the Netcompany team, you will be provided with:
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you’ll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
Lead enterprise clients through AI governance assessments, design governance frameworks and operating models, and establish policies for responsible AI deployment at scale.
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
phData is seeking an AI Governance Leader to join our Advisory team. You’ll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You’ll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData’s Intelligence Platform strategy.
Core Responsibilities
Client Delivery & Execution
Client Leadership & Account Growth
Thought Leadership & Practice Development
Required Qualifications
Preferred Qualifications
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Manages partner operations and implements AI automation workflows to streamline business processes and partner enablement.
Designs and manages AI agent infrastructure on Amazon Bedrock, including orchestration, retrieval pipelines, security controls, and tools for team-wide AI feature deployment.
Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.
We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.
(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)
We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.
This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.
Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.
Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.
Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.
Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.
Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.
Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.
Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.
Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.
Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.
Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.
Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.
8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.
Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.
Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.
Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.
Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.
Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).
Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.
A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.
Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.
Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.
Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.
Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.
A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.
Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.
Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.
Involvement in AI red-teaming or the AI security community.
Experience with GraphRAG or knowledge graphs.
Experience running retrieval over geospatial, scientific, or large-binary datasets.
Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.
Compliance experience such as SOC 2, or handling government or defense customer data.
Background supporting data platforms, autonomous systems, or field operations.
Your AI work has been prototypes and notebooks rather than systems other people depend on in production.
You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.
You treat security as a gate at the end of a project rather than something designed from the start.
You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.
You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.
At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.
To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.
Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.
The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.
Bedrock Ocean is an equal opportunity employer.
Leads AI agent infrastructure and orchestration on Amazon Bedrock, building data retrieval pipelines, security models, and platform abstractions for autonomous systems.
Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.
We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.
(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)
We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.
This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.
Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.
Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.
Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.
Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.
Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.
Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.
Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.
Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.
Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.
Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.
Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.
8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.
Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.
Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.
Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.
Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.
Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).
Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.
A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.
Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.
Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.
Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.
Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.
A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.
Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.
Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.
Involvement in AI red-teaming or the AI security community.
Experience with GraphRAG or knowledge graphs.
Experience running retrieval over geospatial, scientific, or large-binary datasets.
Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.
Compliance experience such as SOC 2, or handling government or defense customer data.
Background supporting data platforms, autonomous systems, or field operations.
Your AI work has been prototypes and notebooks rather than systems other people depend on in production.
You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.
You treat security as a gate at the end of a project rather than something designed from the start.
You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.
You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.
At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.
To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.
Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.
The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.
Bedrock Ocean is an equal opportunity employer.
Leads customer-facing technical projects to build and productionize data and AI solutions on the Databricks platform, owning architecture and end-to-end system implementation.
CSQ227R258
As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.
Location: San Francisco Bay Area Preferred
This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$182,000—$250,208 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Designs and maintains AI agent infrastructure on Amazon Bedrock, including orchestration, data retrieval pipelines, security models, and abstractions for the engineering team.
Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.
We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.
(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)
We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.
This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.
Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.
Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.
Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.
Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.
Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.
Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.
Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.
Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.
Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.
Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.
Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.
8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.
Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.
Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.
Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.
Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.
Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).
Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.
A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.
Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.
Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.
Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.
Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.
A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.
Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.
Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.
Involvement in AI red-teaming or the AI security community.
Experience with GraphRAG or knowledge graphs.
Experience running retrieval over geospatial, scientific, or large-binary datasets.
Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.
Compliance experience such as SOC 2, or handling government or defense customer data.
Background supporting data platforms, autonomous systems, or field operations.
Your AI work has been prototypes and notebooks rather than systems other people depend on in production.
You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.
You treat security as a gate at the end of a project rather than something designed from the start.
You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.
You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.
At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.
To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.
Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.
The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.
Bedrock Ocean is an equal opportunity employer.
Partners with enterprise teams to deploy, optimize, and manage AI systems in production environments.
Designs reusable patterns, standards, and tooling for agentic AI workflows across the organization to accelerate automation and ensure quality.
Headquarters: Denver, CO - Hybrid; New York, New York, United States; Phoenix, AZ - Remote; San Francisco, CA - Hybrid
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
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All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
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AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role:
As an Agentic Operations Architect, you will own the reusable capabilities that make agentic service workflows possible, the patterns, primitives, standards, and tooling that other builders across the org use to automate discrete customer problems. You are not the owner of any single workflow. You are the reason a workflow that took six weeks takes two, and the reason the tenth one is safer than the first. You will prototype workflows yourself, but as a means to an end: to prove a pattern is sound, to find out what builders are missing, and to earn the right to set a standard.
About the Team:
The mission of our Service Transformation (CXT) team is to quickly evolve and scale how Gusto delivers outstanding service experiences and leverages AI to do so. Our team designs the systems, governance frameworks, and feedback loops that allow Gusto's service model to improve continuously, operate reliably, and earn the trust of the customers and employees who depend on it.
Here’s what you’ll do day-to-day:
Build the patterns
Shape the platform
Point capacity at the right problems
Carry the quality stakes
Here’s what we're looking for:
Strongly preferred
Our cash compensation amount for this role is $168,420/yr to $210,525/yr in Denver & most major metro locations, and $197,895/yr to $247,369/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.Â
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.Â
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
To apply: https://weworkremotely.com/remote-jobs/gusto-inc-agentic-operations-architect
Builds internal IT automations, workflows, and tools using AI assistance across Microsoft 365 and AWS cloud environments to improve employee productivity and reduce manual effort.
IT Solutions Engineer – AI, Automation & Cloud, #1111
Clearance: US Citizenship Required; ability to obtain a government clearance if required.
We are looking for an IT Solutions Engineer who wants to do more than keep systems running. This role is for someone who can help reinvent internal IT by building practical automations, improving employee experiences, and using AI-assisted, spec-driven development to turn business needs into reliable solutions.
Our environment spans both Microsoft and AWS in real production use. We are Microsoft-heavy across Microsoft 365, Teams, SharePoint, Entra ID, Intune, Defender, Power Platform, Copilot, and Azure services, while also running multiple production systems, applications, and cloud services in AWS. The successful candidate needs to move comfortably between at least these two clouds and choose the right platform, tool, or service for the problem at hand.
This is a hands-on role for someone who likes solving messy problems, learning quickly, documenting what they build, and delivering tools people actually use. You will support core IT operations, but the bigger opportunity is to identify friction in the business and build secure, maintainable solutions that reduce manual effort and help people work better.
What You’ll Do
Build useful internal tools, automations, workflows, scripts, and lightweight applications that improve how employees work.
Use spec-driven development practices to clarify the problem, define expected behavior, document assumptions, and deliver maintainable solutions.
Use AI tools responsibly to accelerate research, solution design, development, troubleshooting, documentation, and iteration.
Improve and extend our Microsoft 365 environment, especially Teams, SharePoint, Entra ID, Intune, Defender, Power Platform, Copilot, and related services.
Work interchangeably across Microsoft/Azure and AWS environments, including production systems, applications, APIs, source control, CI/CD, infrastructure automation, monitoring, identity, and security controls.
Partner with business users to understand pain points, prioritize high-value opportunities, and deliver solutions people will actually adopt.
Help keep IT operations secure, reliable, documented, and aligned with compliance needs such as CMMC, ISO 27001, and ISO 20000.
Required Skills and Experience
Minimum of a Bachelor’s and 3+ years of hands-on experience supporting Microsoft 365, endpoint management, identity, collaboration tools, or modern IT operations.
Experience building automations, workflows, scripts, integrations, internal tools, or low-code solutions.
Comfort moving between Microsoft/Azure and AWS environments, with the judgment to understand where each platform fits and how to support production workloads responsibly.
Ability to turn ambiguous requests into clear specifications, working prototypes, tested solutions, and practical documentation.
Responsible use of AI-assisted tools for research, development, troubleshooting, documentation, and continuous learning.
Strong troubleshooting, communication, documentation, and user empathy.
Familiarity with security, access control, least privilege, audit evidence, and compliance-conscious operations.
Preferred Skills and Experience
Power Platform, Microsoft Graph, PowerShell, Python, JavaScript, REST APIs, or similar development experience.
Amazon Kiro, Microsoft Copilot, GitHub Copilot, ChatGPT, Copilot Studio, Azure AI, OpenAI-based tools, or AI-powered internal assistants.
Hands-on experience with AWS services such as IAM, Lambda, S3, CloudWatch, CloudFormation, ECS, API Gateway, or related production operations; familiarity with AWS GovCloud and Microsoft GCC High; plus common Infrastructure as Code tools.
GitHub, GitLab, source control, CI/CD, DevOps practices, or repeatable deployment approaches.
Government contracting, CMMC Level 2, ISO 27001, ISO 20000, NIST SP 800-171, or other regulated/security-conscious environments.
You Might Be a Fit If
You see a manual process and immediately start thinking about how to improve it. You are comfortable supporting systems, but you also want to build things, simplify things, and help people work better.
You are curious, practical, and self-directed. You can learn an unfamiliar environment, talk with users, write down what good looks like, build a solution, test it, document it, and keep improving it.
You are excited by AI because it changes how technical work gets done, but you also understand that internal solutions must be secure, reliable, supportable, and aligned with company policies.
Why This Role Matters
Internal technology should make work easier, not harder. This role helps us get more leverage from Microsoft 365, Azure, AWS, AI, automation, and other platforms so IT can become a more proactive engineering partner to the business.
The estimated salary range for this position is $65,600-$120,000. This salary range is not a guarantee of compensation. The offered salary will be based on factors including relevant experience, geographic location, internal equity, and applicable contractual requirements. *Compensation may fall outside this range when appropriate.
Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.
Designs, develops, and deploys AI-enabled solutions and process automations across educational and operational environments while ensuring responsible AI governance and compliance.
AI/ML Specialist
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.
The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.
The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.
Responsibilities
Qualifications
Preferred Qualifications
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• Company-supported certifications aligned to current and future program work,
including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and
related technical areas
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Designs, develops, and deploys AI-enabled solutions and process automations while supporting governance, readiness assessments, and enterprise adoption of AI capabilities.
AI/ML Specialist
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.
The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.
The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.
Responsibilities
Qualifications
Preferred Qualifications
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• Company-supported certifications aligned to current and future program work,
including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and
related technical areas
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Builds, deploys, and manages AI agents across the organization to automate workflows, improve performance, and serve customers better.
Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.
We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.
Work performed
Identify where agents can help and build them accordingly.
Work with department leads to assess AI needs.
Help connect agents to appropriate third-party and internal tools.
Measure results and remove agents that don’t deliver.
Test new tools and models as they ship and adopt what works.
Advise others on AI capabilities to help them perform.
Requirements
Experience building agents that run on their own and do meaningful work
Strong with Grok, Claude, OpenAI, and open source
Comfortable in Go, TypeScript, GraphQL, Postgres, GCP
Writes clearly in English
Compensation
Salary: $150,000–$250,000 USD
$20,000 signing bonus
4 weeks vacation + country-specific holidays
Fully remote
Senior individual contributor who identifies automation and AI opportunities across CX operations, scopes projects, and builds workflows, integrations, and systems end-to-end.
It’s a new day with a new opportunity at 8am!
About the role:
8am is looking for a technically-minded, senior individual contributor to drive new CX roadmap initiatives and automation from idea through delivered, working systems. This is a hands-on builder role, you scope ambiguous, early-stage ideas from stakeholders across CX, BI, Sales, and Marketing into concrete, buildable project plans, then personally build the automation, workflow, or integration that brings each one to life.
You bring the same technical depth to new builds as to existing systems: when a workflow underperforms, you know why, and you can write the ticket or rebuild the logic yourself. But the core of this role is forward-looking, identifying where new automation and AI can create leverage across the CX org, scoping it, and shipping it. You partner directly with Business Systems and Engineering on infrastructure-level builds, and with BI, Customer Operations, Sales, Finance, and Marketing to make sure new projects solve the right cross-functional problem from the start.
About us:
At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.
Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!
What you’ll do:
About you:
Additional Information The annual salary range for this position is $90,000 to $110,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am:
At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day.
Here’s how we support our 8Team:
At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day.
Diversity, equity & inclusion at 8am:
At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.
Security advisory:
Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.
Builds, deploys, and manages AI agents across the business to automate workflows, improve performance, and serve customers better.
Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.
We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.
Work performed
Identify where agents can help and build them accordingly.
Work with department leads to assess AI needs.
Help connect agents to appropriate third-party and internal tools.
Measure results and remove agents that don’t deliver.
Test new tools and models as they ship and adopt what works.
Advise others on AI capabilities to help them perform.
Requirements
Experience building agents that run on their own and do meaningful work
Strong with Grok, Claude, OpenAI, and open source
Comfortable in Go, TypeScript, GraphQL, Postgres, GCP
Writes clearly in English
Compensation
Salary: $150,000–$250,000 USD
$20,000 signing bonus
4 weeks vacation + country-specific holidays
Fully remote
Lead the design and implementation of AI solutions across the organization, serving as the bridge between business stakeholders, data teams, and engineers to identify AI opportunities and deliver scalable solutions.
Shape what’s next in dental technology.
Join Henry Schein One!
Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.
We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.
We are seeking an AI Solutions Architect for our Business Intelligence team that is responsible for advanced data pipelines, data structures, transformations, and final output datasets for consumption by AI and individuals of various business functions. You will be designing, governing, and implementing AI solutions that drive business value across the organization. You serve as the bridge between business stakeholders, data teams, engineers, and executive leadership to identify opportunities for adoption of AI and deliver scalable, secure, and reliable solutions. You will lead the design of AI-enabled products and processes, ensure alignment with enterprise architecture standards, and establish best practices for responsible AI usage.
This position is remote within the United States with up to 10% travel as needed.
What You Will Do
Technical Skills
What We Are Looking For
What Will Set You Apart
The posted range for this position is $125,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc.This position is eligible for a bonus target not reflected in the range.
What You’ll Gain as a #TeamSchein Member
A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!
Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.
Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.
Leads AI solutions architecture and implementation across the organization, designing end-to-end AI systems, establishing governance standards, and partnering with stakeholders to identify and prioritize AI opportunities.
Shape what’s next in dental technology.
Join Henry Schein One!
Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.
We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.
We are seeking an AI Solutions Architect for our Business Intelligence team that is responsible for advanced data pipelines, data structures, transformations, and final output datasets for consumption by AI and individuals of various business functions. You will be designing, governing, and implementing AI solutions that drive business value across the organization. You serve as the bridge between business stakeholders, data teams, engineers, and executive leadership to identify opportunities for adoption of AI and deliver scalable, secure, and reliable solutions. You will lead the design of AI-enabled products and processes, ensure alignment with enterprise architecture standards, and establish best practices for responsible AI usage.
This position is remote within the United States with up to 10% travel as needed.
What You Will Do
Technical Skills
What We Are Looking For
What Will Set You Apart
The posted range for this position is $125,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc.This position is eligible for a bonus target not reflected in the range.
What You’ll Gain as a #TeamSchein Member
A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!
Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.
Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.
