Role Summary Advises departments on responsible, high-value adoption of enterprise AI: readiness assessment, use-case prioritization, governance aligned to the NIST AI Risk Management Framework, proof-of-concept delivery, and knowledge transfer so County staff can sustain AI capability independently. This is advisory/consulting and organizational-change work — application development is a downstream concern the Specialist coordinates on, not the core job. Currently one req on record; expect volume to grow as public-sector AI adoption matures, and watch for this profile splitting into separate Governance/Strategy vs. AI-Enablement variants. Core Responsibilities Conduct AI readiness and opportunity assessments across business and operational functions Identify, prioritize, and roadmap high-value AI use cases Establish governance and responsible-AI practices aligned to the NIST AI Risk Management Framework Design and oversee AI proofs of concept and pilots Evaluate AI outputs for accuracy, security, privacy, bias, and maintainability Establish prompt engineering, data-handling, and validation standards Facilitate workshops and stakeholder sessions across executive and technical audiences Build internal capability through structured knowledge transfer, documentation, and training curricula Define and measure AI adoption, business value, and ROI Requirements Skills Required Enterprise AI platforms: Microsoft Copilot, Azure OpenAI, ChatGPT, Claude, Google Gemini NIST AI Risk Management Framework and responsible-AI/governance practices AI readiness assessment, use-case identification, and adoption change management Prompt engineering standards and reusable prompt/pattern libraries Power Platform / Power BI for workflow and productivity integration Familiarity with AI-assisted development tools (GitHub Copilot, Cursor) — beneficial, not core Executive- and technical-level briefing and documentation skills Experience Required 5+ years (within last 7) leading or supporting enterprise technology or digital-transformation initiatives 3+ years evaluating/implementing AI, generative AI, or intelligent automation solutions 2+ years developing AI strategy, readiness assessments, or governance recommendations 2+ years designing/delivering AI POCs, pilots, or production implementations, including validating AI-generated work 2+ years partnering with executive leadership and cross-functional technical teams 1+ year providing training, facilitation, or knowledge transfer Education / Training Bachelor's degree in Computer Science, Information Systems, AI, Data Science, Business Analytics, Public Administration, Organizational Change Management, or related field Master's degree may substitute for one year of required general experience