AI Implementation & Governance Specialist

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., 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

* 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, 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, 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