AI/ML Engineer

Experience designing, developing, evaluating, or implementing AI/ML solutions

Experience with responsible AI frameworks, governance, or risk-management practices

Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms

Python proficiency

Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities

Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments

Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance

Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases

Preferred Qualifications

Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance

Experience developing or implementing AI governance frameworks

Experience with generative AI and large language models

Experience building AI agents or agentic workflows

Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases

Experience developing intelligent document processing solutions

Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services

Experience with Power Platform technologies, including Power Apps and Power Automate

Experience developing predictive analytics, forecasting, or natural-language analytics capabilities

Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability

Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit

Experience supporting AI procurement, technology selection, or pilot programs