Artificial Intelligence; AI Implementation Specialist

AI Implementation Specialist

The AI Implementation Specialist works under the direction of an IT Manager, Project Manager, Department Executive, or user agency personnel. This classification specializes in helping a department evaluate, plan, implement, govern, and mature the use of artificial intelligence (AI) across its business and operational functions. The role is advisory and implementation-focused: the Specialist assesses organizational readiness, identifies high-value AI use cases, designs implementation roadmaps, establishes responsible-AI and governance practices, delivers proofs of concept, and transfers knowledge so internal staff can independently sustain and expand AI capabilities.

Application development is one of several domains in which AI may be applied; it is not the primary purpose of the classification.

The AI Implementation Specialist is responsible for partnering with department leadership, business owners, and technical staff to translate operational needs into practical, responsible AI solutions. Typical engagements include AI readiness and opportunity assessments; use-case identification and prioritization; implementation and adoption planning; governance and risk recommendations aligned to recognized frameworks such as the NIST AI Risk Management Framework; proof-of-concept and pilot delivery;

measurement of AI adoption and business value; and structured knowledge transfer to County staff.

The AI Implementation Specialist will assess existing business processes and technology environments; identify appropriate and responsible uses of AI; recommend enterprise AI platforms, tools, and integration approaches; design and oversee proofs of concept and pilots; establish prompt, data-handling, validation, and quality standards; evaluate AI outputs for accuracy, security, privacy, bias, and maintainability; prepare documentation, standards, and training materials; and build internal capability through hands-on knowledge transfer.

Where a Use Case involves software, the Specialist advises on and may help stand up AI-assisted development workflows and validate AI-generated work products, coordinating with application developers and technical teams as needed. The AI Implementation Specialist will apply AI tools in a controlled, policy-compliant manner, ensuring that all AI-enabled work products and recommendations are reviewed, tested, secure, ethical, and aligned with County and departmental standards, security requirements, privacy obligations, and accessibility standards.

The AI Implementation Specialist will facilitate workshops and stakeholder sessions; provide and receive constructive feedback; prepare clear documentation, reports, briefings, and training materials; and work collaboratively with internal staff to ensure knowledge transfer and the continued, independent use of AI.

Skills Required

• The AI Implementation Specialist will possess knowledge and experience with enterprise AI implementation, generative AI, large language models, and AI agents, including platforms such as Microsoft Copilot, Azure OpenAI, ChatGPT, Claude, Google Gemini, or comparable enterprise AI services.
• The AI Implementation Specialist will possess knowledge and experience conducting AI readiness assessments, business-process analysis, AI use-case identification and prioritization, implementation road mapping, and AI adoption and organizational change management.
• The AI Implementation Specialist will possess knowledge and experience with AI governance and responsible-AI practices, including risk management aligned to the NIST AI Risk Management Framework, data privacy, information security, bias and fairness review, human oversight, and validation of AI-generated work products.
• The AI Implementation Specialist will possess knowledge and experience with prompt engineering standards, reusable prompt and pattern libraries, workflow and process automation, and productivity and collaboration platforms such as Microsoft Power Platform and Power BI.
• The AI Implementation Specialist will possess knowledge and experience in integrating AI into existing business and technology environments, including data sources, enterprise applications, identity and access management (e.g., Microsoft Entra ), and cloud services such as Microsoft Azure.
• Familiarity with the software development lifecycle and with AI-assisted development tools (e.g., Git Hub Copilot, Cursor) is beneficial where application development is one of the targeted use cases.
• The AI Implementation Specialist will possess knowledge to develop standards, documentation templates, technical and executive briefings, training curricula, and knowledge-transfer materials that enable staff to independently sustain AI capabilities, and to define and measure AI adoption, performance, business value, and return on investment, recommending continuous-improvement actions.
• The AI Implementation Specialist will have clear oral and written communication skills, establish and maintain…