Deployed Engineer (Federal)
$150k - $250k • Remote • Washington DC • FullTime
Posted 20d ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As a Deployed Engineer, you will tackle challenging problems in applied AI, focusing on production systems that support real-world missions rather than experimental research. You will assist defense, civilian, and intelligence customers in designing, deploying, and operating AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments that prioritize security, reliability, compliance (such as FedRAMP, IL levels), and operational rigor.
Responsibilities
- Co-architect and co-build production AI agents with federal engineering teams and system integrators.
- Drive technical success in federal pre-sales by designing secure POCs, supporting RFI/RFP responses, and guiding technical evaluations.
- Design architectures that comply with federal security and compliance standards (e.g., FedRAMP, DoD IL2–IL6, NIST).
- Assist agencies in deploying and operating agent-based applications like mission support copilots, intelligence analysis agents, and operational workflows.
- Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap planning.
- Deliver technical demonstrations, workshops, and enablement sessions for government developers and operators.
- Collaborate with security teams to navigate Authority to Operate (ATO) processes and accreditation pathways.
- Incorporate field feedback from federal use cases into reusable patterns, secure deployment guides, and example code.
- Contribute code upstream when it significantly enhances federal customer outcomes.
Requirements
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), preferably supporting federal or regulated customers.
- Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators.
- Strong Python and JavaScript fundamentals with deep systems thinking.
- Experience designing agent-based or LLM-powered systems beyond basic API calls, including orchestration, guardrails, and failure handling.
- Familiarity with secure cloud environments (e.g., AWS GovCloud, Azure Government).
- Comfort operating in regulated environments with security, compliance, and documentation requirements.