AI Implementation & Governance Specialist

s Advancio, Inc.; Norwalk (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Advancio seeks an AI Implementation & Governance Specialist in Norwalk, CA to advise departments on responsible, high-value AI adoption. You will oversee readiness assessments, use-case prioritization, governance aligned to NIST RMF, and PoCs, coordinating application development as downstream work.

The role focuses on advisory and organizational change, including knowledge transfer, documentation, and training to enable County staff to sustain AI capability independently.

Qualifications

• NIST AI RMF and governance practices expected.
• AI readiness assessment, use-case prioritization and adoption change management.
• Prompt engineering standards and reusable libraries.
• Power Platform/Power BI for workflow integration.
• Familiarity with AI-assisted development tools is a plus but not core.
• Executive- and technical-level briefing and documentation skills.

Responsibilities

• Conduct AI readiness and opportunity assessments across functions.
• Identify, prioritize, and roadmap high-value AI use cases.
• Establish governance aligned to NIST RMF.
• Design and oversee AI proofs of concept and pilots.
• Evaluate AI outputs for accuracy, security, privacy, bias, maintainability.
• Establish prompts, data handling, and validation standards.
• Facilitate workshops across exec and technical audiences.
• Build internal capability through knowledge transfer and training.
• Define and measure AI adoption, business value, and ROI.

Skills

NIST AI RMF

AI readiness assessment

Prompt engineering standards

Power Platform/Power BI

Governance practices

Executive briefing

Documentation

Tools

GitHub Copilot

Cursor

Job description

AI Implementation & Governance Specialist

Norwalk, United States | Posted on 09/25/2026

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

• 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