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AI Engineers / Security and Data with Security Clearance

TEKsystems c/o Allegis GroupHuntsville, AL🇺🇸United StatesPosted 29 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your deep data expertise and security clearance to drive cutting-edge AI initiatives within a reputable organization, fostering significant career growth. You'll thrive here if you possess a strong background in data governance and a passion for secure AI development, collaborating with a dynamic team to make a real impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Huntsville, AL, United States
Posted
4 weeks ago
SQLComplianceJavaScriptPythonTypeScript

Job Description

MULTIPLE POSITIONS - Required Qualifications

  • Bachelor's degree in Information Systems, Data Management, Computer Science, or related field
  • Minimum 10 years of experience in data governance, data management, or a related data-focused role
  • Working knowledge of data governance concepts, including data quality, metadata management, and data stewardship
  • Experience with data cataloging and/or metadata management practices
  • Proficiency writing and interpreting SQL queries
  • Familiarity with DoD and NIST data handling, classification, and compliance requirements
  • Strong analytical, documentation, and communication skills
  • Ability to work collaboratively within a cross-functional team
  • Active Security Clearance required • DoD 8570 Level II/III certification required
___________________________________________________ Desired Qualifications
  • 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.
  • 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 Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.

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