<\/span><\/span><\/div>The right candidate is a builder at heart\u2014someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast\-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it.<\/span><\/span>
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Location: <\/b>Columbia, MD<\/span><\/span>
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<\/span><\/span><\/div>Travel Required:<\/span> <\/span> <\/b> No<\/span>
<\/span><\/span><\/p>Shift:<\/span> <\/span> <\/b> Day<\/span>
<\/span><\/span><\/p>Remote Type:<\/span> <\/span> <\/b> Onsite
<\/span><\/span><\/p>Security Clearance: <\/span> <\/span> <\/b> Current TS/SCI<\/span>
<\/span><\/span><\/p>Polygraph: <\/span> <\/span> <\/b> Required (Poly must be less than 7 years old)
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<\/span><\/span><\/p>Salary Range<\/span> <\/span> <\/b>
<\/span><\/span><\/p>The projected compensation range for this position is 251K \- 258K <\/span><\/b>(annualized USD).
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<\/p>Salary is determined by various factors, including but not limited to location, the individual\u2019s particular combination of education,knowledge, skills, competencies, and experience, as well as contract\-specific affordability and organizational requirements.<\/span> <\/span> <\/i>
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<\/span><\/span><\/b><\/div>Capabilities<\/span><\/span><\/b>
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<\/span><\/span><\/div>Provide SETA support to government teams developing or assessing AI\-enabled applications and tools.<\/span>
<\/span><\/span><\/div><\/li>- Advise on technical approaches for AI application design, prototyping, integration, and evaluation.<\/span>
<\/span><\/span><\/li>- Assess solutions involving LLMs, retrieval\-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.<\/span>
<\/span><\/span><\/li>- Support the review of architectures, development approaches, model usage patterns, and technical risk areas.<\/span>
<\/span><\/span><\/li>- Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.<\/span>
<\/span><\/span><\/li>- Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.<\/span>
<\/span><\/span><\/li>- Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.<\/span>
<\/span><\/span><\/li>- Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.<\/span>
<\/span><\/span><\/li>- Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.<\/span>
<\/span><\/span><\/li>- Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.<\/span><\/span>
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Requirements<\/h3><\/div>
Required Skills<\/b><\/span><\/span><\/span><\/span><\/span>
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<\/span><\/span><\/div>Experience designing, building, integrating, or evaluating AI/ML\-enabled applications or software tools.<\/span>
<\/span><\/span><\/div><\/li>- Familiarity with modern AI application patterns, including LLM\-based applications, RAG, prompt engineering, agentic systems, and AI\-assisted workflows.<\/span>
<\/span><\/span><\/li>- Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.<\/span>
<\/span><\/span><\/li>- Experience with software development fundamentals, APIs, data handling, and system integration.<\/span>
<\/span><\/span><\/li>- Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.<\/span>
<\/span><\/span><\/li>- Strong written and verbal communication skills.<\/span><\/span>
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<\/span><\/b><\/span><\/div>Desired Skills<\/span><\/b><\/span>
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Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.<\/span>
<\/span><\/div><\/li>- Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.<\/span>
<\/span><\/li>- Exposure to model hosting, inference pipelines, or cloud\-based AI development environments.<\/span>
<\/span><\/li>- Understanding of secure AI development practices, data protection, and operational constraints in government settings.<\/span>
<\/span><\/li>- Experience supporting defense, cyber, intelligence, or mission application development.<\/span>
<\/span><\/li>- Familiarity with human\-in\-the\-loop workflows, AI assurance, and evaluation methodologies.<\/span>
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Qualifications<\/span><\/span><\/b>
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- Minimum of 18 years with Bachelors, 15 years with Masters degree in <\/span><\/span><\/span><\/span>a relevant field such as Business, Engineering, Computer Science, Information Systems, Operations, or related discipline.<\/span><\/span><\/span><\/span><\/span><\/span>
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Benefits<\/h3>
<\/u><\/span><\/span>CareFirst Insurance<\/u><\/span><\/span> <\/span> <\/b>
