AI Enablement & Adoption Specialist

The AI Enablement and Adoption Specialist will lead the practical adoption of enterprise generative AI capabilities, with a focus on leveraging enterprise market-leading AI platforms across business and technology teams. This role will partner with department leaders and subject-matter experts to understand business processes, identify appropriate AI use cases, and develop secure, repeatable AI-assisted workflows. The specialist will help users apply AI effectively through prompt development, platform capabilities and skills, training, human-in-the-loop controls, and responsible-use guidance, particularly when working with confidential information and protected health information (PII & HIPAA).   

 

• →Serve as the organization’s primary expert on enterprise market-leading and approved generative AI tools, including their capabilities, limitations, and appropriate uses.
• →Partner with department leaders, designated AI champions, and subject-matter experts to understand workflows, identify opportunities, and prioritize AI use cases based on value, feasibility, risk, and data sensitivity.
• →Translate business and technology needs into practical AI-assisted solutions without acting as the functional subject-matter expert or final decision-maker.
• →Design, test, document, and maintain reusable prompts, platform capabilities and skills, instructions, templates, and AI-enabled workflows tailored to departmental needs.
• →Help teams organize source documents, examples, instructions, and contextual information to improve the accuracy, consistency, and usefulness of AI-generated outputs.
• →Recommend the appropriate use of chat, platform capabilities and skills, AI enabled coding, document analysis, APIs, connectors, MCP tools, and other approved capabilities.
• →Define input requirements, expected outputs, validation criteria, human-in-the-loop checkpoints, approval requirements, and escalation procedures for AI-assisted workflows.
• →Work with department subject-matter experts to evaluate outputs for accuracy, completeness, consistency, and business usability.
• →Assist technology and data teams with AI-enabled activities such as SQL development, data integration, schema analysis, Power BI, Excel, PowerApps, analytics, code review, testing, technical documentation, and syntheticdata creation.
• →Assist knowledge workers and business teams with summarizing emails, meetings, and documents; drafting communications; organizing tasks; preparing for meetings; analyzing information; and creating presentations and business narratives and increasing overall efficiencies.
• →Support document-intelligence use cases, including extracting structured information, comparing documents, summarizing content, and enabling approved natural-language access to sensitive documents.
• →Partner with Finance, Accounting, Revenue Cycle, Clinical, and other business teams to develop controlled AIassisted workflows, while ensuring qualified departmental experts retain responsibility for validation and final decisions.Develop and deliver role-based training, demonstrations, job aids, and hands-on coaching to help users apply AI effectively and responsibly in their daily work.
• →Explain generative AI risks and limitations, including hallucinations, incomplete or outdated information, inconsistent outputs, data exposure, and overreliance on AI-generated recommendations.
• →Partner with Security, Privacy, Compliance, Legal, Data, and Technology teams to ensure AI solutions comply with HIPAA, PHI and PII requirements, organizational policies, security controls, and contractual obligations.
• →Help maintain guidance identifying approved, restricted, and prohibited AI tools, features, data types, integrations, and use cases.
• →Monitor adoption, user feedback, productivity gains, output quality, risk indicators, and business value, and recommend improvements to workflows, training, governance, and technology configurations.
• →Developing quantitative metrics to ensure desired outcomes are met such as accuracy, efficiency, productivity, and other expected success criteria.
• →Maintain awareness of changes to enterprise, market-leading AI platforms and contribute to the organization's AI strategy, governance, pilot programs, and adoption roadmap.

 

 

• 3+ years of experience in one or more areas related to the primary duties, such as technology consulting, business analysis, solution implementation, process improvement, automation, data and analytics, enterprise technology adoption, or user training.
• Demonstrated hands-on experience with enterprise generative AI platforms and capabilities, including AIassisted workflows, prompt development, reusable instructions or Skills, AI-assisted code development, and use of APIs or integrations.
• Demonstrated experience applying generative AI to business or technology workflows through enterprise implementations, consulting engagements, pilots, or significant AI projects.
• Experience designing and evaluating AI-assisted workflows, including output validation, human-in-the-loop review, and user enablement or training.
• Strong understanding of generative AI risks, limitations, data privacy, responsible AI use, and the handling of confidential or sensitive information.
• Strong working knowledge of the broader generative AI ecosystem, emerging capabilities, tools, and enterprise use cases.
• Strong communication, facilitation, problem-solving, documentation, and stakeholder-management skills.
• Bachelor’s degree in a relevant field or equivalent combination of education and professional experience.

 

• Experience supporting enterprise AI adoption, secure AI workflows, change management, governance, or regulated business environments.
• Experience in healthcare or familiarity with HIPAA, PHI, PII, and healthcare information-security practices.
• Familiarity with Microsoft technologies, APIs, MCP, enterprise connectors, retrieval-based solutions, or secure system integrations.