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Dynamo AI

Senior Forward Deployed Engineer, Public Sector

Posted 12 Hours Ago
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In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Deploy and operationalize Dynamo's AI assurance platform for public sector customers. Responsibilities include writing code, building integrations, creating prototypes and demos, supporting cloud, hybrid, on-premises, and air-gapped deployments, troubleshooting complex implementations, and translating customer mission needs into solution architectures. The role requires close collaboration with customer engineering, security, product, and government stakeholders, with regular on-site engagement and up to 50% travel.
The summary above was generated by AI

Location: Washington, DC Metro Area preferred
Role Type: Full-Time Employee, Individual Contributor
Work Model: Customer-facing, with regular on-site engagement and up to 50% travel
Clearance: U.S. Citizenship required; active U.S. security clearance preferred, with eligibility and willingness to obtain one required.


About Dynamo AI

Dynamo AI helps organizations deploy AI systems that are secure, reliable, observable, policy-aligned, and production-ready. As government and enterprise customers adopt Generative AI, agentic systems, copilots, and AI-enabled workflows, Dynamo provides the custom evaluation, control, agent assurance, and observability infrastructure needed to move from experimentation to trusted production deployment.

Dynamo’s platform helps customers evaluate models and applications before deployment, protect sensitive data and enforce policy during use, govern agent actions, and maintain evidence for oversight. Our capabilities are flexible across cloud, hybrid, on-prem, edge, and air-gapped environments.

About the role

We are looking for a Senior Forward Deployed Engineer to help public sector customers deploy and operationalize Dynamo’s platform in mission-critical environments.

This is a hands-on engineering role at the intersection of software engineering, customer deployment, AI assurance, and government technology. You will write code, debug complex systems, build integrations, support deployments, and create demos, prototypes, and workflows that help customers adopt Dynamo’s capabilities.

You will work directly with customer engineering teams, mission users, security stakeholders, and Dynamo’s product and engineering teams to translate operational needs into working software, deployment architectures, and product feedback that shapes our roadmap and public sector strategy.

In This Role You’ll

  • Become deeply fluent in Dynamo’s evaluation, guardrail, and agent governance platform, including DynamoEval, DynamoGuard, AgentWarden, and related capabilities.
  • Work directly with federal customers to understand mission needs, technical requirements, pain points, and operational constraints, and convert them into practical solution architectures, integrations, and implementation plans.
  • Create tailored demos, prototypes, workflows, and collateral for federal executives, technical teams, and mission users, helping translate validated use cases into initial deployments.
  • Deploy, integrate, and support Dynamo capabilities across cloud, hybrid, on-prem, air-gapped, and government-controlled environments.
  • Troubleshoot complex implementations in partnership with engineering, platform, security, and customer teams.
  • Bring field learnings back to Dynamo’s product, engineering, research, and go-to-market teams to shape roadmap, delivery patterns, and customer strategy.

You Might Thrive In This Role If You

  • Have a strong technical foundation in software engineering, computer science, applied mathematics, or another quantitative field.
  • Communicate clearly with technical and non-technical audiences, from hands-on users to senior government stakeholders.
  • Enjoy solving hard technical problems in real customer environments, not just in controlled demos.
  • Are comfortable operating in fast-moving, ambiguous settings where you may need to build, test, explain, and iterate quickly.
  • Work well across users, engineers, product teams, security stakeholders, and mission owners.
  • Like turning field feedback into practical product improvements, deployment patterns, and customer value.
  • Are excited to help deploy custom AI evaluations, runtime controls, and agent governance systems in high-stakes public sector environments.

Preferred Qualifications

  • 5+ years in customer-facing engineering roles, including solutions, sales, product, forward-deployed, or implementation engineering.
  • Strong coding ability in Python plus TypeScript, Java, Go, Bash, or similar.
  • Experience building, deploying, integrating, or operating production software systems across cloud, containerized, on-prem, or enterprise environments.
  • Working knowledge of AI/ML systems, including GenAI, LLM applications, evaluation, guardrails, observability, or agentic workflows.
  • Strong debugging, problem-solving, and technical communication skills, with the ability to operate independently in ambiguous customer environments.
  • Willingness to travel regularly to customer sites.
  • U.S. Citizenship required; active U.S. security clearance preferred, with eligibility and willingness to obtain one required.

Nice To Have

Experience supporting Department of War, IC, federal civilian, or other public sector customers.

  • Familiarity with RMF, FedRAMP, IL environments, ATO processes, CMMC, or government software accreditation.
  • Experience with Kubernetes, Docker, Terraform, CI/CD, cloud infrastructure, platform engineering, or enterprise integrations.
  • Experience integrating with IdAM providers, SIEMs, data platforms, APIs, secure networks, or logging and monitoring tools.
  • Hands-on experience with AI evaluation, red-teaming, runtime guardrails, model observability, AI governance, or agentic systems.
  • Prior experience at a defense-tech, AI, cybersecurity, cloud, or enterprise SaaS company.
  • Active Secret, Top Secret, or TS/SCI clearance.
HQ

Dynamo AI San Francisco, California, USA Office

San Francisco, CA, United States

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