Lead Generative AI Engineer

CACI International Inc is seeking a Lead Generative AI Engineer to join their AI Enablement Team. The role involves delivering high-impact AI solutions, mentoring engineers, and guiding programs on best practices while evolving the solution catalog across diverse mission environments.

Responsibilities:

• Lead technical architecture and decision‑making for complex GenAI engagements
• Deliver production‑ready AI applications—including RAG, conversational AI, and agentic systems—under tight timelines
• Implement advanced GenAI patterns using vector databases, orchestration frameworks, and managed AI services with strong observability, security, and optimization
• Integrate LLM APIs and AI services into existing workflows across cloud and on‑prem environments; design responsible AI guardrails and evaluation frameworks
• Conduct hands‑on training, documentation, and mentorship to ensure sustainable knowledge transfer
• Maintain and expand reusable AI solution templates and technical standards
• Validate program team readiness for independent AI operations
• Experiment with emerging AI tools and share findings through demos, documentation, and discussions

Requirements:

• 10+ years software engineering with expert Python and strong JavaScript; experience building and maintaining complex production systems using modern development workflows
• Bachelor's degree in Computer Science or a related major
• Must currently hold an active Secret clearance
• Deep experience developing LLM applications, including agentic patterns, RAG, context engineering, vector databases, observability, evaluation, and cost/quality optimization
• Proven ability to architect complex AI systems, make build‑vs‑buy decisions, and balance cost, latency, quality, and security
• Strong AI operations skills: monitoring, mitigating failure modes, and implementing responsible AI practices
• Expert API integration skills and distributed system design
• Proficiency with major cloud platforms (AWS/Azure/GCP), containerization, CI/CD, IaC concepts, and security best practices
• Solid ML fundamentals, especially as applied to LLM systems
• Demonstrated technical leadership, mentorship, and ability to operate in ambiguous, fast‑paced environments
• Exceptional communication, documentation, and knowledge‑transfer capabilities
• Pragmatic delivery mindset with strong architectural judgment
• High fluency with AI tools and continuous learning in GenAI advancements
• Expertise with GitLab, Jira, and agile workflows
• Experience leading production agentic systems using frameworks like Agno, LangGraph, CrewAI, or OpenAI Agents; strong familiarity with observability platforms and vector DBs
• Depth in AWS/Azure AI services, Kubernetes, Terraform, and CI/CD automation
• Full‑stack proficiency for building end‑to‑end AI applications
• Consulting or multi‑project delivery experience with strong client‑facing capabilities
• Federal/DoD experience with security and compliance frameworks
• Community leadership through open‑source, writing, or speaking
• Relevant certifications (Security+, AWS, etc.)