Artificial Intelligence (AI) Implementation Specialist

About the role

The AI Implementation Specialist works under the direction of 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.

Responsibilities

• Assess organizational readiness for AI implementation
• Identify high-value AI use cases
• Design implementation roadmaps
• Establish responsible-AI and governance practices
• Deliver proofs of concept
• Transfer knowledge to internal staff
• Partner with department leadership, business owners, and technical staff
• Translate operational needs into practical, responsible AI solutions
• Conduct AI readiness and opportunity assessments
• Identify appropriate and responsible uses of AI
• Recommend enterprise AI platforms, tools, and integration approaches
• Design and oversee proofs of concept and pilots
• Evaluate AI outputs for accuracy, security, privacy, bias, and maintainability
• Prepare documentation, standards, and training materials
• Build internal capability through hands-on knowledge transfer
• Apply AI tools in a controlled, policy-compliant manner
• Ensure 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
• Facilitate workshops and stakeholder sessions
• Provide and receive constructive feedback
• Prepare clear documentation, reports, briefings, and training materials
• Work collaboratively with internal staff to ensure knowledge transfer and the continued, independent use of AI

Requirements

• 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
• 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
• 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
• 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
• 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 ID), and cloud services such as Microsoft Azure
• Familiarity with the software development lifecycle and with AI-assisted development tools (e.g., GitHub Copilot, Cursor) is beneficial where application development is one of the targeted use cases
• 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
• Have clear oral and written communication skills, establish and maintain cooperative working relationships with those contacted in the course of the work, and communicate effectively with both executive and technical audiences

Qualifications

• Minimum of five (5) years of experience within the last seven (7) years leading or supporting enterprise technology, digital transformation, or organizational technology-consulting initiatives, including the assessment, planning, implementation, and adoption of new technologies
• A minimum of three (3) years of experience must include the evaluation, implementation, and integration of artificial intelligence, generative AI, or intelligent automation solutions to improve business operations, service delivery, staff productivity, decision-making, or software delivery
• A minimum of two (2) years of experience must include developing AI strategies, readiness or opportunity assessments, implementation roadmaps, governance or responsible-AI recommendations, and executive-level recommendations
• A minimum of two (2) years of experience must include designing and delivering AI proofs of concept, pilots, or production implementations, and validating AI-generated or AI-assisted work products for accuracy, security, privacy, and fitness for purpose
• A minimum of two (2) years of experience must include partnering with executive leadership, business owners, project managers, cybersecurity staff, infrastructure teams, business analysts, and/or application developers on information technology initiatives
• A minimum of one (1) year of experience must include providing training, facilitation, mentoring, documentation, or knowledge transfer to technical and non-technical staff to build internal capability

Education

• Required: Possession of a bachelor’s degree in Computer Science, Information Systems, Information Technology, Artificial Intelligence, Data Science, Business Analytics, Public Administration, Organizational Change Management, or a closely related field
• Additional Qualifying Experience: May be substituted for the required education on a year-for-year basis
• Preferred: A master’s degree in a closely related field may be substituted for one (1) year of the required general experience