Artificial Intelligence/Machine Learning Engineer

Responsibilities

• Work directly with mission users to capture complex workflows and document operational decision points.
• Design and implement AI-enabled capabilities, including LLM-powered workflows, agent-based automation, or hybrid approaches based on mission needs.
• Streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments.
• Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate with existing systems, perform reliably in production, and comply with security and governance standards.

Qualifications

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic.
• Experience designing or implementing LLM-based or agent-based workflows, including multi-step reasoning, tool integrations, and orchestration.
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
• Programming experience in Python, TS/SCI clearance with a polygraph.
• Bachelor’s degree in AI, ML, Data Science, Cybersecurity, or Engineering or 6+ years of experience in relevant fields.
• Nice to have:
• Experience engineering AI capabilities in on-premise or multi-classification environments.
• Experience with AWS or Azure, including work in restricted or classified environments.
• Experience with AI/LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
• Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp.
• Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes.

Credentials

• TS/SCI clearance with a polygraph.

Benefits

The estimated compensation range for this position is $47.60 to $108.18 per hour. The actual compensation will vary based on factors including location, education, experience, and organizational requirements.