• Architect and lead development of enterprise-scale AI/ML platforms, intelligent agents, and data-driven solutions for government and commercial customers • Define the technical vision, strategy, and roadmap for AI/ML, Agentic AI, Generative AI, and advanced analytics across programs • Build and evolve intelligent agents and AI-enabled services using LLMs, automation frameworks, and multi-agent orchestration patterns • Lead AI factory-based frameworks with reusable components for scalable offerings • Partner with C-level executives, CTOs, and business leaders to align solutions with mission needs • Drive adoption of Infrastructure as Code, DevSecOps, CI/CD pipelines, and "controls-as-code" practices • Establish AI governance frameworks (e.g., Responsible AI, Trusted AI) ensuring compliance with regulations (OMB M-24-10, EO 14110) • Design and deploy trusted ML models and advanced analytics/visualization solutions • Collaborate with systems engineers and ISSEs to embed security into platform design • Mentor senior and mid-level engineers through architecture and code reviews • Support ATO processes, business development (RFP/RFI), and conduct AoA/PoCs on emerging technologies • Promote "as code" patterns for infrastructure, automation, agent behavior, and compliance artifacts