OverviewThe AI Solutions and Enablement Advisor serves as a trusted subject matter expert for artificial intelligence technologies across the organization. This role partners with business and technology teams to identify opportunities where AI can improve productivity, decision-making, automation, knowledge management, and operational efficiency, and helps stakeholders select and apply the most appropriate AI capabilities to meet those needs.
The Advisor works with business and technical stakeholders to evaluate not only the functional capabilities of AI solutions, but also their operational sustainability. This includes helping teams understand licensing considerations, consumption-based costs, infrastructure requirements, support models, and long-term ownership expectations to ensure AI investments remain practical, scalable, and aligned with business objectives.
The Advisor maintains expertise across Microsoft AI technologies, including Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, and related services, while also maintaining awareness of emerging AI platforms and private or on-premises AI deployment options. The role helps business and technical stakeholders understand available capabilities, assess use cases, evaluate tools and models, and guide the implementation and adoption of AI solutions in a secure, practical, and sustainable manner.
This position focuses on AI enablement, consultation, governance, and adoption rather than custom AI development. The Advisor is expected to understand AI technologies, model capabilities, prompt design, agent-based solutions, retrieval approaches, and platform considerations sufficiently to guide implementation and decision-making. While configuration, experimentation, evaluation, and model tuning may be performed when appropriate, the role is not responsible for developing proprietary AI models, conducting machine learning research, or serving as a dedicated software engineering resource.
The Advisor acts as a bridge between business users, IT, Security, Data Governance, Enterprise Applications, and engineering teams to promote responsible AI adoption, establish best practices, improve AI literacy, and help the organization realize value from AI investments while adhering to security, compliance, and governance requirements.
Where applicable, this position assures departmental processes are performed in compliance with applicable Sarbanes-Oxley controls.
Responsibilities•
Partner with business and technology stakeholders to identify opportunities where AI technologies can improve productivity, customer experience, operational efficiency, decision-making, knowledge management, or process automation.
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Evaluate business challenges and recommend appropriate AI-enabled solutions using Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, and related technologies.
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Serve as a subject matter expert on organizational AI capabilities and help stakeholders understand available tools, models, services, limitations, and implementation considerations.
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Help business leaders and teams determine when AI is appropriate, when traditional automation is sufficient, and when solutions require formal application development or enterprise systems.
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Guide stakeholders in defining AI use cases, business outcomes, success metrics, adoption approaches, and implementation priorities.
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Assist teams in evaluating AI platforms, models, and services based on business objectives, governance requirements, data sensitivity, supportability, performance, and cost considerations.
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Provide guidance on AI solution patterns including copilots, agents, knowledge retrieval, AI-assisted workflows, conversational interfaces, and productivity solutions.
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Assist users in designing and refining prompts, instructions, workflows, and AI interactions that produce consistent and reliable business outcomes.
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Support evaluation, testing, and tuning activities that improve AI solution effectiveness while operating within established governance and compliance requirements.
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Maintain awareness of emerging AI technologies, model capabilities, and industry trends and translate those developments into practical recommendations for business and technology teams.
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Facilitate workshops, discovery sessions, office hours, demonstrations, and training activities that improve organizational understanding and adoption of AI technologies.
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Develop reusable templates, implementation guidance, best practices, reference materials, and educational content that help teams become more self-sufficient in their use of AI.
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Act as a trusted advisor to stakeholders by explaining technology options, tradeoffs, risks, capabilities, and limitations in clear business-oriented language.
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Promote responsible AI practices, including validation of generated content, transparency, human review, privacy awareness, and appropriate handling of sensitive information.
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Partner with Security, Compliance, Legal, Risk Management, Data Governance, and IT teams to ensure AI solutions align with organizational policies and standards.
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Help establish and communicate governance guidance related to AI usage, model access, data protection, compliance requirements, and acceptable use practices.
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Assist with evaluation of AI-related risks and help stakeholders understand security, privacy, operational, and regulatory considerations associated with AI implementations.
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Collaborate with infrastructure, cloud, platform, and engineering teams when AI solutions require technical integration, architecture review, security assessment, or operational support planning.
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Assist teams in troubleshooting AI adoption challenges, prompt design issues, model behavior concerns, access limitations, and workflow effectiveness.
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Help evaluate and prioritize AI opportunities based on expected value, implementation complexity, risk, sustainability, and organizational readiness.
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Identify common use cases, successful solution patterns, and opportunities for reusable AI services, templates, and organizational enablement programs.
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Support pilot programs, proof-of-concept efforts, and production deployments by helping define requirements, success criteria, testing approaches, and adoption plans.
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Document AI solution patterns, governance decisions, lessons learned, support expectations, and implementation guidance to support organizational knowledge sharing.
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Measure and communicate AI adoption outcomes, including productivity improvements, process efficiencies, quality enhancements, user satisfaction, and business value realization.
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Build strong relationships across business and technology functions to foster responsible experimentation, innovation, and sustainable adoption of AI capabilities.
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Help stakeholders develop realistic adoption, funding, and operational support plans for AI solutions by evaluating expected value, resource requirements, usage patterns, licensing impacts, and ongoing operating costs.
MinUSD $138,000.00/Yr.
MaxUSD $179,670.00/Yr.
Qualifications•
AI & Technology Knowledge
- Working knowledge of generative AI concepts, large language models (LLMs), prompt engineering, AI agents, retrieval-based solutions, and AI-assisted workflows.
- Familiarity with Microsoft AI technologies including Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, and Power Platform.
- Understanding of AI use-case evaluation, technology selection, business value assessment, and solution adoption practices.
- Familiarity with enterprise AI considerations including model selection, grounding data, knowledge retrieval, security, governance, privacy, and operational support requirements.
- Awareness of emerging AI technologies and deployment models, including cloud-hosted, private, and on-premises AI solutions.
- Ability to evaluate AI capabilities, limitations, risks, and suitability for specific business scenarios.
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Governance & Business Enablement
- Understanding of responsible AI principles, data protection requirements, security controls, governance processes, and compliance considerations.
- Ability to explain AI concepts, risks, governance requirements, and technology tradeoffs to both technical and non-technical audiences.
- Experience creating user guidance, best practices, training materials, implementation recommendations, and adoption frameworks.
- Ability to promote practical, supportable, and sustainable AI solutions aligned with organizational standards and governance requirements.
- Experience collaborating with Security, Data Governance, Infrastructure, Enterprise Applications, Compliance, and business leadership teams.
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Professional Skills
- Strong consultation, facilitation, stakeholder engagement, and problem-framing skills.
- Excellent written, verbal, and presentation communication skills.
- Strong analytical and critical thinking abilities with the capability to assess opportunities, risks, and implementation considerations.
- Ability to manage multiple priorities while balancing innovation, governance, risk, and business value.
- Customer-focused mindset with the ability to guide stakeholders through evolving technologies and ambiguous problem spaces.
Additional preferred competencies or preferred qualifications, if any:
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Microsoft Applied Skills or Microsoft credentials related to Azure AI Foundry, Azure OpenAI, Microsoft 365 Copilot, or Copilot Studio.
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Microsoft Certified: Azure Fundamentals (AZ-900) or demonstrated familiarity with Azure services and cloud concepts.
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Microsoft Certified: Azure AI Fundamentals (AI-900).
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Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent Azure AI Foundry experience.
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Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900).
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Experience helping business and technical teams evaluate, adopt, and operationalize AI capabilities within enterprise environments.
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Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, or similar generative AI platforms.
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Experience facilitating AI use-case discovery, technology evaluations, pilot programs, or proof-of-concept initiatives.
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Familiarity with generative AI concepts including large language models (LLMs), prompt engineering, AI agents, retrieval-augmented generation (RAG), model evaluations, and grounding techniques.
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Experience supporting AI governance initiatives, responsible AI practices, data protection requirements, or AI risk management activities.
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Experience developing guidance, training materials, workshops, or enablement programs related to AI technologies or digital transformation initiatives.
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Familiarity with model hosting approaches including cloud-based, private, hybrid, or on-premises AI deployments.
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Experience collaborating with Security, Infrastructure, Data Governance, and Enterprise Architecture teams to support technology adoption and governance requirements.
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Experience evaluating AI platforms, vendors, services, or emerging technologies and communicating recommendations to business and technology stakeholders.
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Familiarity with knowledge management, enterprise search, document intelligence, conversational AI, productivity acceleration, or business process optimization use cases.
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Experience supporting organizational change management, adoption programs, communities of practice, centers of excellence, or technology enablement initiatives.
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Experience working within regulated, security-conscious, or governance-driven enterprise environments.
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Familiarity with Power Platform, Power Automate, Power Apps, Power BI, or low-code automation platforms as complementary technologies to AI-enabled business solutions.
