AI enablement specialist

A growing organization is seeking a hands-on AI enablement specialist to drive practical adoption of artificial intelligence across the business. This position combines solution delivery, training, and stakeholder partnership to help teams use AI tools effectively in their daily work.

The AI enablement specialist designs and delivers AI-powered workflows within the Microsoft 365 ecosystem and other enterprise AI platforms, while also leading education and change initiatives. This is a high-visibility role focused on building real solutions, improving productivity, and helping non-technical users gain confidence with AI.

Responsibilities

• Design, build, and deploy AI-enabled solutions that improve internal efficiency using Microsoft 365 Copilot and other enterprise AI tools.
• Lead end-to-end enablement initiatives, including scoping, planning, development, piloting, rollout, adoption tracking, and iteration.
• Deliver training sessions, live demonstrations, and large-group presentations to educate colleagues on AI fundamentals, prompting techniques, and responsible use.
• Create reusable assets such as prompt libraries, AI agents, automated workflows, and collaboration templates that scale impact across teams.
• Partner with department leaders to identify high-value automation opportunities and translate business needs into AI-supported workflows.
• Monitor advancements in AI tools, features, and governance practices and convert them into clear, actionable guidance for the organization.
• Promote responsible AI usage, including data privacy, accuracy validation, and appropriate handling of sensitive information.
• Measure adoption and effectiveness of AI solutions and communicate outcomes to stakeholders.

Required experience and skills

• Three to six years of professional experience in a technology, business analysis, IT, or consulting role with demonstrated delivery ownership.
• Formal education or substantial self-directed learning in artificial intelligence, machine learning, or data science.
• Hands-on experience building AI agents, custom GPT-style solutions, or Claude-based projects for real-world use.
• Demonstrated experience implementing solutions using Microsoft 365 Copilot and at least one additional enterprise AI assistant.
• Working knowledge of the Microsoft 365 environment, including Excel with advanced formulas and Power Query, Outlook, Teams, SharePoint, OneDrive, and Power Platform with Power Automate.
• Strong project management capabilities, including stakeholder coordination, timeline management, and progress reporting.
• Excellent public speaking and facilitation skills, with experience presenting to large audiences.
• Clear written communication skills for documentation, training materials, and leadership updates.

Preferred experience and skills

• Familiarity with Power BI, Power Apps, or low-code and no-code automation tools.
• Experience leading AI adoption or change management initiatives in a corporate setting.
• Basic scripting skills such as Python, JavaScript, or PowerShell for light integration tasks.
• Relevant Microsoft certifications or equivalent credentials.

FAQ

1. What are the core responsibilities of an AI Enablement Specialist?
This role helps organizations adopt and integrate AI technologies into business processes and workflows. Responsibilities include identifying AI use cases, supporting implementation efforts, and enabling teams to effectively use AI-driven tools. The specialist also promotes best practices, training, and adoption strategies.

2. What types of AI initiatives are typically supported in this role?
Initiatives may include workflow automation, generative AI applications, predictive analytics, and AI-powered productivity tools. The role often supports pilots and enterprise-scale rollouts. The focus is on practical business adoption and measurable value.

3. How does this role collaborate with technical and business teams?
The specialist works closely with business stakeholders, IT teams, data scientists, and product teams to align AI solutions with organizational goals. Collaboration helps ensure AI tools are usable, effective, and integrated into daily operations. Strong communication is essential for driving adoption.

4. What tools and technologies are commonly used?
Tools may include AI platforms, collaboration tools, automation systems, and analytics dashboards. Familiarity with generative AI tools, cloud-based AI services, and workflow automation platforms is often valuable. The specific stack depends on organizational needs.

5. How does this role support AI adoption and change management?
The specialist provides training, documentation, and guidance to help users understand AI capabilities and workflows. They may also gather feedback and improve processes to increase adoption. Change management and user enablement are central to the role.

6. How is success measured in this role?
Success is measured by AI adoption rates, operational improvements, user engagement, and business impact. Metrics may include efficiency gains, reduced manual work, and employee satisfaction with AI tools. Delivering scalable and sustainable AI usage is key.

7. What challenges are common in AI enablement?
Challenges include overcoming resistance to change, ensuring responsible AI usage, and aligning AI capabilities with business needs. Managing expectations around AI performance can also be difficult. Strong problem-solving and communication skills are essential.