3 months ago
Columbia, MD, USAStaff+
Base Salary
$222k - $239k/yr
Responsibilities
- Provide SETA support and technical advisory guidance to government teams developing or assessing AI-enabled applications and tools.
- Advise on AI application design, prototyping, integration, evaluation, architectures, development approaches, model usage, and technical risks.
- Assess LLM, retrieval-augmented generation, tool-use, agentic workflow, orchestration, prompt pipeline, and evaluation-harness solutions.
- Evaluate AI frameworks, agentic libraries, and experimentation harnesses for mission suitability.
- Develop technical guidance, prototypes, engineering recommendations, and stakeholder briefings.
- Support AI tool testing and evaluation through performance assessment, qualitative review, and workflow validation.
- Collaborate with platform engineers, product leads, mission users, and government leadership.
- Track emerging AI tools and practices and provide informed recommendations.
Requirements
- A minimum of 18 years of experience with a bachelor's degree or 15 years with a master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
- Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.
- Familiarity with LLM-based applications, retrieval-augmented generation, prompt engineering, agentic systems, and AI-assisted workflows.
- Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, or LlamaIndex.
- Experience with software development fundamentals, APIs, data handling, and system integration.
- Ability to assess technical tradeoffs and communicate them clearly to engineers and government stakeholders.
- Strong written and verbal communication skills.
- Preferred experience with Python, JavaScript/TypeScript, vector databases, embeddings, model APIs, evaluation frameworks, agent testing harnesses, model hosting, inference pipelines, or cloud-based AI development environments.
- Preferred understanding of secure AI development, data protection, government operational constraints, human-in-the-loop workflows, AI assurance, and evaluation methodologies.
- Preferred experience supporting defense, cyber, intelligence, or mission application development.
- An active TS/SCI clearance with a polygraph and U.S. citizenship are required.
Tech Stack
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