Senior AI Solutions Analyst

Hunatek•Quantico, VA
•$170,000 - $195,000•Hybrid

About The Position

The Senior AI Solutions Analyst is a hands-on technical role responsible for designing, building, and deploying AI-driven tools and intelligent agents that improve business processes and operational efficiency. The role uses Python, machine learning, automation frameworks, and workflow engineering to create practical solutions. It also contributes to customer AI strategy by identifying high-value use cases, creating implementation roadmaps, and guiding organizational adoption. The position is hybrid, with on-site engagement depending on mission needs. The analyst works with business units to understand process needs, gather requirements, build prototypes, and deploy production-ready solutions. The role also collaborates with IT, data teams, and operational leaders to ensure solutions meet technical and compliance standards, supports adoption of AI-enabled workflows, and may mentor junior analysts or developers.

Requirements

  • U.S. citizenship.
  • Eligibility for a security clearance.
  • Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field, or equivalent experience.
  • 5–10+ years of experience in data science, machine learning, data engineering, or advanced analytics.
  • Experience supporting DoD programs, warfighter missions, or secure data platforms.
  • Strong proficiency in Python, including building automation tools and integrating APIs.
  • Hands-on experience with AI and machine-learning libraries such as PyTorch, TensorFlow, or scikit-learn, and LLM toolkits.
  • Experience designing and deploying AI agents or workflow automation solutions.
  • Understanding of enterprise data environments and DOW workflows.
  • Ability to translate operational needs into technical requirements and deliver practical solutions.
  • Strong analytical and problem-solving skills and attention to detail.
  • Strong communication and requirements-gathering capabilities.
  • Ability to work independently and lead small initiatives.

Nice To Haves

  • Experience with generative AI frameworks, vector databases, orchestration tools, or MLOps pipelines.
  • Familiarity with Azure, AWS, or GCP cloud environments.
  • Experience in government contracting or regulated environments.
  • Knowledge of NIST AI RMF, responsible AI practices, or privacy and security considerations.

Responsibilities

  • Build custom AI agents, automation scripts, and intelligent workflows using Python and modern AI frameworks, including Gemini, SpaceX AI, and OpenAI/Azure APIs.
  • Develop and train machine-learning or LLM-based models for business process improvement.
  • Integrate AI tools into existing systems, data sources, and DOW workflows.
  • Create reusable components, libraries, and templates to accelerate future AI development.
  • Prepare and preprocess data, perform feature engineering, and evaluate model performance.
  • Identify opportunities where AI can improve efficiency, quality, or customer outcomes.
  • Develop AI adoption roadmaps covering milestones, dependencies, staffing, data needs, and risks.
  • Advise leadership on emerging technologies, feasibility, and best practices.
  • Support development of responsible AI guidelines aligned with organizational requirements.
  • Analyze DOW processes to identify pain points and automation opportunities.
  • Gather requirements, build prototypes, and deploy production-ready solutions in collaboration with business units.
  • Create documentation, training materials, and user guides for AI tools.
  • Monitor solution performance and make iterative improvements.
  • Collaborate with IT, data teams, and operational leaders to deploy solutions that meet technical and compliance standards.
  • Support change management and adoption of AI-enabled workflows.
  • Mentor junior analysts or developers on AI tools and best practices.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Long-term and short-term disability insurance and term life insurance.
  • 401(k) with safe harbor contribution.
  • Paid time off and 11 paid holidays.
  • Tuition and career development assistance.
  • Voluntary benefits.
  • Opportunities to learn new skills, obtain certifications, and attend industry events.
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