Leidos Cyber & Information Sciences Division of the Cyber & Analytics Business Area is seeking an AI & Analytic Systems SME to serve as a Technical Closer for our COSS 3.0 program. You will architect the frameworks that achieve analytic superiority and actively perform the engineering required to push AI capabilities into production. You are expected to mentor senior technologists by example-working "fingers-on-keyboard" to solve the command's most complex technical roadblocks.
Core Technical Requirements- Agentic AI Frameworks: Expertise in deploying LangGraph, CrewAI, or AutoGPT to scale network defense at "wire speed."
- Model Engineering: Hands-on fine-tuning of open-source models (Llama 3, Mistral) in air-gapped enclaves using PyTorch or TensorFlow.
- Technical Closing: Direct engineering of Retrieval-Augmented Generation (RAG) stacks using LangChain and vector databases (Milvus or Pinecone).
- Mission Orchestration: Proficiency in unified mission systems (e.g., Kudu Dynamic, TACMS, Maven Support Systems) with custom API integration skills.
- Scripting: Mastery of Python, Go, and Bash.
Preferred Certifications & Experience- Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM Associate.
- Military Equivalency: CMF Work Role Certification (Exploitation/Network Analyst) or experience as a 170A/17A.
Years of Experience- Total Experience:12-15+ years in technical roles.
- AI/ML Focus:5+ years specifically in Machine Learning Engineering or Data Science. The "Technical Closer" label implies you aren't just managing the project; you are the person who steps in to fix the code when the senior engineers get stuck.
- Domain Expertise:3-5 years working within the IC/DoD (Intelligence Community/Dept. of Defense) ecosystem, specifically with systems like Maven or TACMS.
Educational Background- Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics.
- The requirement to fine-tune models (Llama 3, Mistral) using PyTorch/TensorFlow in air-gapped enclaves requires a deep understanding of hardware constraints and model weights that usually comes from advanced academic or specialized research backgrounds.
- Experience Substitution: A Bachelor's degree with an additional 5+ years (totaling 15-20) of high-level engineering experience can often substitute for a Master's, especially if backed by the "Military Equivalency" noted in the description.
Clearance Requirement- TS/SCI with CI Poly required
