Artificial Intelligence and Machine Learning Engineer, Senior
$99,000–$225,000 year
On-siteWahiawā, Hawaii, United States
Job Summary
Capture multi-step, time-sensitive workflows from mission users, document operational decision points, and translate them into AI-enabled capabilities including LLM-powered workflows, agent-based automation, or hybrid approaches. Design and implement solutions that streamline analytical tasks, improve data accessibility, and support rapid decision-making in high-tempo environments. Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to security and governance expectations of classified environments.
Required Qualifications
- 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 3+ years of experience in AI and ML engineering, data science, or software engineering within cyber, intelligence, or national security environments
- 6+ years of experience in AI and ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
- You are expected to be on camera during interviews and assessments
- The use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided
Desired Qualifications
- 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 or LLM development framework 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
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