Lead AI/ML Engineer
Core
Lead the design, development, and deployment of mission-critical AI/ML systems for U.S. military and government agencies, focusing on autonomous data fusion and agentic workflows.
Role type
Lead AI/ML Engineer (Strategy & Hands-on IC)
Builds
Production-grade AI/ML platforms, Small Language Models (SLMs), and agentic systems for defense and public sector clients.
Domain
Defense technology, autonomous data fusion, agentic AI, cloud-native ecosystems.
Deliverable
production ML models
Required skills
Advanced degree in CS/AI, 8+ years in AI/ML engineering, production ML model deployment, ML pipeline design, Python, PyTorch/TensorFlow, microservices, cloud-native environments (AWS, Kubernetes), technical strategy, team leadership, AI governance.
Preferred skills
LLMs and RAG architectures, edge/air-gapped deployment, event-driven architectures (Kafka), MLOps tooling, open-source contributions, TypeScript.
Technologies
Python, PyTorch, TensorFlow, Scikit-learn, AWS, Kubernetes, Kafka, CI/CD pipelines.
Responsibilities
Lead architecture and development of AI/ML systems; design scalable ML pipelines; drive adoption of LLMs and agentic workflows; deploy purpose-built SLMs for edge/air-gapped environments; partner with DevSecOps for containerized deployment; translate mission needs into technical solutions; mentor engineers and set technical direction; ensure model reliability and observability; own enterprise-wide AI/ML strategy and roadmap; build and lead the AI/ML organization; establish AI governance and responsible AI practices.
Seniority
Senior, hands-on IC with strategic leadership