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
  

• Bachelors degree in Computer Science Information Systems AI Data Science Business Analytics Public Administration Organizational Change Management or related field
  

• Masters degree may substitute for one year of required general experience