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AI Engineer - SME- CLEARANCE and POLYGRAPH REQUIRED
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Salary
$100k – $180k per year
Location
In office (Columbia)
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 1, 2026. Cyber, Data Analytics & Engineering Services scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Customer-centric and results-driven with a team of Cyber & Intelligence SMEs, Engineers, Technology Integrators & Administrators.
solutions involving LLMs, agentic workflows, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.
Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.
Required:
- Must be a US Citizen
- Must have TS/SCI clearance w/ active polygraph
- Requires current CI poly within last seven (07) years.
- Eighteen (18) years of experience with a Bachelors Degree; experiencing providing technical advisory support for the design, evaluation, and advancement of applications, tools, and workflows.
- Degree in Systems Engineering, Computer Science, Engineering, Data Science, Mathematics, or related field.
- Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.
- Familiarity with modern AI application patterns, including LLM-based applications, RAG, 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, LlamaIndex, or similar ecosystems.
- Experience with software development fundamentals, APIs, data handling, and system integration.
- Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.
- Strong written and verbal communication skills.
These Qualifications Would be Nice to Have:
- Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
- Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
- Exposure to model hosting, inference pipelines, or cloud-based AI development environments.
- Understanding of secure AI development practices, data protection, and operational constraints in government settings.
- Experience supporting defense, cyber, intelligence, or mission application development.
- Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.
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