Lead AI Engineer
Core
Design, develop, and deploy advanced generative AI and agentic systems for mission-critical government operations, defining technical architecture and leading engineering initiatives.
Role type
Senior IC Lead AI Engineer (Generative AI & Agentic Systems)
Builds
Production-ready AI solutions, multi-agent orchestration workflows, and secure LLM integrations for government stakeholders.
Domain
National Security / Government Operations / Generative AI
Deliverable
production ML models
Required skills
Generative AI architecture, Multi-agent orchestration, RAG, LLM API integration, Prompt engineering, Full-stack development, Cloud infrastructure, Security compliance (FedRAMP/ATO), Team leadership
Preferred skills
Model Context Protocol (MCP) server development, AI-assisted coding tools, Helm/YAML, AI evaluation frameworks, Data warehousing/ETL
Technologies
Python, .NET/C#, Angular, TypeScript, Docker, AWS, SQL Server, Git, CI/CD, Anthropic, OpenAI, Ask Sage, React, Java, PostgreSQL, Azure, GitLab, Qlik, Databricks, Power Automate
Responsibilities
Define and lead architecture of generative AI solutions; Design and deploy multi-agent orchestration and custom MCP servers; Build applications integrating commercial and government-approved LLM endpoints; Apply advanced prompt engineering and confidence-gating; Engage with government stakeholders to gather requirements and develop prototypes; Lead full-stack application development; Design cloud-based data environments and pipelines; Develop AI evaluation frameworks and testing environments; Conduct adversarial testing and red-team exercises; Ensure compliance with Department of War security and regulatory requirements; Lead and mentor engineering teams.
Seniority
Senior, hands-on IC with leadership responsibilities
