AI Solutions Enablement Advisor

Connection • Merrimack, NH

7d • $138,000 - $179,670

About The Position

The AI Solutions Enablement Advisor serves as a trusted subject matter expert for artificial intelligence technologies across the organization. The role partners with business and technology teams to identify opportunities to improve productivity, decision-making, automation, knowledge management, customer experience, and operational efficiency, and helps stakeholders select and apply appropriate AI capabilities.

The Advisor evaluates AI solutions for functional fit and operational sustainability, including licensing, consumption-based costs, infrastructure requirements, support models, and long-term ownership. The role maintains expertise in Microsoft AI technologies such as Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, and Power Platform, while staying aware of emerging AI platforms and private or on-premises deployment options.

The position focuses on AI enablement, consultation, governance, and adoption rather than custom AI development. It requires enough understanding of AI technologies, model capabilities, prompt design, agent-based solutions, retrieval approaches, and platform considerations to guide implementation and decision-making. Configuration, experimentation, evaluation, and model tuning may be performed when appropriate, but developing proprietary AI models, conducting machine-learning research, and serving as a dedicated software engineering resource are not responsibilities of the role.

The Advisor bridges 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 meeting security, compliance, and governance requirements. Where applicable, the position ensures departmental processes comply with applicable Sarbanes-Oxley controls.

Requirements

• 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.
• 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 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.
• Strong consultation, facilitation, stakeholder engagement, and problem-framing skills.
• Excellent written, verbal, and presentation communication skills.
• Strong analytical and critical-thinking abilities, including assessing opportunities, risks, and implementation considerations.
• Ability to manage multiple priorities while balancing innovation, governance, risk, and business value.
• Customer-focused mindset and ability to guide stakeholders through evolving technologies and ambiguous problem spaces.

Nice To Haves

• Microsoft Applied Skills or Microsoft credentials related to Azure AI Foundry, Azure OpenAI, Microsoft 365 Copilot, or Copilot Studio.
• Microsoft Certified: Azure Fundamentals (AZ-900) or demonstrated familiarity with Azure services and cloud concepts.
• Microsoft Certified: Azure AI Fundamentals (AI-900).
• Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent Azure AI Foundry experience.
• Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900).
• Experience helping business and technical teams evaluate, adopt, and operationalize AI capabilities within enterprise environments.
• Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, or similar generative AI platforms.
• Experience facilitating AI use-case discovery, technology evaluations, pilot programs, or proof-of-concept initiatives.
• Familiarity with generative AI concepts including LLMs, prompt engineering, AI agents, retrieval-augmented generation (RAG), model evaluations, and grounding techniques.
• Experience supporting AI governance initiatives, responsible AI practices, data protection requirements, or AI risk management activities.
• Experience developing guidance, training materials, workshops, or enablement programs related to AI technologies or digital transformation initiatives.
• Familiarity with cloud-based, private, hybrid, or on-premises AI model hosting approaches.
• Experience collaborating with Security, Infrastructure, Data Governance, and Enterprise Architecture teams to support technology adoption and governance requirements.
• Experience evaluating AI platforms, vendors, services, or emerging technologies and communicating recommendations to business and technology stakeholders.
• Familiarity with knowledge management, enterprise search, document intelligence, conversational AI, productivity acceleration, or business process optimization use cases.
• Experience supporting organizational change management, adoption programs, communities of practice, centers of excellence, or technology enablement initiatives.
• Experience working in regulated, security-conscious, or governance-driven enterprise environments.
• Familiarity with Power Platform, Power Automate, Power Apps, Power BI, or low-code automation platforms as complementary technologies to AI-enabled business solutions.

Responsibilities

• Partner with business and technology stakeholders to identify opportunities for AI to improve productivity, customer experience, operational efficiency, decision-making, knowledge management, or process automation.
• 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.
• Serve as a subject matter expert on organizational AI capabilities and explain available tools, models, services, limitations, and implementation considerations.
• Help teams determine when AI is appropriate, when traditional automation is sufficient, and when formal application development or enterprise systems are needed.
• Guide stakeholders in defining AI use cases, business outcomes, success metrics, adoption approaches, and implementation priorities.
• Evaluate AI platforms, models, and services against business objectives, governance requirements, data sensitivity, supportability, performance, and cost considerations.
• Provide guidance on AI solution patterns, including copilots, agents, knowledge retrieval, AI-assisted workflows, conversational interfaces, and productivity solutions.
• Assist users in designing and refining prompts, instructions, workflows, and AI interactions to produce consistent, reliable business outcomes.
• Support evaluation, testing, and tuning activities to improve AI solution effectiveness within established governance and compliance requirements.
• Monitor emerging AI technologies, model capabilities, and industry trends and translate them into practical recommendations.
• Facilitate workshops, discovery sessions, office hours, demonstrations, and training to improve organizational understanding and adoption of AI technologies.
• Develop reusable templates, implementation guidance, best practices, reference materials, and educational content to help teams use AI more independently.
• Explain technology options, tradeoffs, risks, capabilities, and limitations to stakeholders in clear, business-oriented language.
• Promote responsible AI practices, including content validation, transparency, human review, privacy awareness, and appropriate handling of sensitive information.
• Partner with Security, Compliance, Legal, Risk Management, Data Governance, and IT teams to align AI solutions with organizational policies and standards.
• Help establish and communicate governance guidance for AI usage, model access, data protection, compliance requirements, and acceptable use.
• Assist in evaluating AI-related risks and explaining security, privacy, operational, and regulatory considerations to stakeholders.
• Collaborate with infrastructure, cloud, platform, and engineering teams when AI solutions require technical integration, architecture review, security assessment, or operational support planning.
• Troubleshoot AI adoption challenges, prompt-design issues, model behavior concerns, access limitations, and workflow effectiveness.
• Evaluate and prioritize AI opportunities based on expected value, implementation complexity, risk, sustainability, and organizational readiness.
• Identify common use cases, successful solution patterns, and opportunities for reusable AI services, templates, and organizational enablement programs.
• Support pilots, proofs of concept, and production deployments by helping define requirements, success criteria, testing approaches, and adoption plans.
• Document AI solution patterns, governance decisions, lessons learned, support expectations, and implementation guidance.
• Measure and communicate AI adoption outcomes, including productivity improvements, process efficiencies, quality enhancements, user satisfaction, and business value realization.
• Build relationships across business and technology functions to foster responsible experimentation, innovation, and sustainable AI adoption.
• Help stakeholders develop realistic adoption, funding, and operational support plans by evaluating expected value, resource requirements, usage patterns, licensing impacts, and ongoing operating costs.
• Ensure applicable departmental processes are performed in compliance with applicable Sarbanes-Oxley controls.

Benefits

• Competitive compensation
• 401(k) plans
• Medical insurance
• Free therapy visits
• Mental health coaching and tools
• Meditation resources
• Paid time off, including vacation and care time
• Wellness Time Off
• Volunteer Time Off

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed