Artificial Intelligence/Machine Learning Engineer

EverWatch • Annapolis Junction, MD

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About The Position

EverWatch is a government solutions company that provides advanced defense, intelligence, and deployed support for critical government missions. The Artificial Intelligence/Machine Learning Engineer will work directly with cyber and intelligence mission users to capture time-sensitive analytical workflows, document operational decision points, and translate those workflows into AI-enabled capabilities. Solutions may include LLM-powered workflows, agent-based automation, or hybrid approaches based on mission needs. The work is intended to streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments. The engineer will collaborate with operators, analysts, developers, and mission leadership to integrate solutions with existing systems, ensure reliable production performance, and meet security and governance expectations in classified environments.

The position is located in Annapolis Junction, Maryland. The projected compensation range is $47.60 to $108.18 per hour. Compensation depends on factors including location, education, knowledge, skills, competencies, experience, contract affordability, and organizational requirements. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Requirements

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic.
• Experience designing or implementing LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration.
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
• Experience with programming languages such as Python.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree and at least 3 years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments; alternatively, at least 6 years of such experience in lieu of a degree; or a master’s degree and technical experience.

Nice To Haves

• 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.
• Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering.

Responsibilities

• Work directly with mission users to capture workflows and document operational decision points.
• Translate user workflows into effective AI-enabled capabilities.
• Design and implement LLM-powered workflows, agent-based automation, or hybrid solutions according to mission needs.
• Streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making.
• Collaborate with operators, analysts, developers, and mission leadership.
• Integrate solutions with existing systems and ensure they perform reliably in production.
• Ensure solutions adhere to security and governance expectations for classified environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level