Principal Forward Deployed Engineer
Listed on 2026-07-13
-
Software Development
AI Engineer (Applied/Software), Software Architect
Location:
Washington, DC | Type:
Full Time | Setup:
Hybrid |
Experience:
10+ years
You'll set technical direction across enterprise AI engagements: the architect clients bring in when the system has to work, the stakes are high, and the answer isn't in a playbook. You operate at the executive level without losing precision, and you remain a builder.
Our client deploys AI systems into production environments where availability, cost, and trust are non-negotiable. The bar here is architect, builder, communicator: a decade-plus of production engineering, deep LLM systems experience, and the judgment to direct AI tooling rather than hide behind it.
If you've architected multi-agent platforms, shipped AI products handling thousands of daily queries, and can defend every decision to a CTO, this is your level.
What You'll Do- Own architecture across engagements: orchestrator-worker agent patterns, MCP integrations, hybrid RAG systems, and LLM platforms built for scale
- Advise executive stakeholders on AI strategy and translate it into systems that ship
- Set the technical bar across teams, including standards for evals, reliability, cost, and responsible AI tool use
- Unblock the hardest problems hands-on; this is a player-coach role at the highest technical level
- Mentor senior and lead engineers across distributed teams
- Stay genuinely current: what shipped this month, not what was in a course six months ago
- 10+ years of production software engineering, with 3+ years focused on LLM-powered systems
- Experience architecting and shipping production AI products with measurable scale and availability
- Consulting or enterprise delivery background with executive-level communication
- Full-stack depth across Python, Type Script, React, and modern backend frameworks, plus current fluency in agentic coding tools
- History of leading engineers across distributed environments while staying hands-on
Top-of-market scope: the engagements with the highest stakes, the most autonomy, and clients who listen. Competitive compensation and benefits.
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