Employer description & source details
As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions. You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape. You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor. Co-architect and co-build production AI agents with federal engineering teams and system integrators Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.) Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences Partner with security teams to navigate ATO processes and accreditation pathways Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies Occasionally contribute code upstream when it meaningfully improves federal customer outcomes Must have zctive or prior U.S. security clearance (Secret, TS/SCI) 3+ years in a rel
Extracted skills: javascript, python, go, aws, azure, kubernetes, sales, security