AI Coach (AI Enablement and Adoption)

What Work You Will Be Responsible For

• Act as the go-to AI resource for your assigned team by meeting with stakeholders, understanding their workflows and pain points, and identifying where AI can provide practical value
• Triage incoming AI requests and determine the right path forward, whether that’s building a quick solution yourself, guiding someone to do it, or escalating to the broader AI or platform team
• Design and build low-code AI solutions such as prompts, workflows, agents, and rapid prototypes, then test, iterate, and refine them based on real user feedback
• Lead working sessions and provide hands-on coaching to help teams adopt AI tools, improve how they work, and build their own solutions with confidence
• Analyze AI usage and adoption trends to identify where teams are getting stuck and proactively deliver targeted support and enablement
• Contribute to firm-wide AI initiatives by collaborating with other AI Coaches, supporting internal programs and content, and helping execute trainings, events, and workshops

Basic Qualifications

• Bachelor's degree
• 5 to 10 years of experience in professional services, public accounting, financial services, or a similarly complex corporate environment
• 2+ years hands-on experience building with generative AI tools, including low-code AI agents, prompt engineering, and rapid prototyping in Azure

Preferred or Desired Qualifications

• Working proficiency with AI platforms such as Anthropic Claude, Microsoft Copilot, Copilot Studio, or similar AI development and enablement tools
• Demonstrated ability to coach, train, and enable others to adopt AI tools and integrate them into their daily workflows
• Strong stakeholder management skills with the ability to engage credibly with audiences from staff associates to senior leaders
• Experience leading or supporting AI adoption, change management, or technology enablement programs
• Experience facilitating discovery conversations, translating business needs into AI-powered solutions, and triaging requests across competing priorities
• Comfort navigating ambiguity and working across multiple teams, service lines, and stakeholders simultaneously
• Genuine curiosity about AI and its practical application to real business and client-facing problems
• Professional services, public accounting, or advisory firm experience
• Experience with AI strategy development, AI governance, or building an AI Center of Excellence
• Familiarity with AI adoption analytics, usage data, and using insights to drive behavior change
• Experience creating training content, internal communications, or thought leadership on AI topics
• Background in vendor evaluation, tool selection, or pilot program design from a practitioner's perspective
• Experience building or contributing to AI literacy and certification programs