• Lead client engagements to scope, prototype, and deliver GenAI-powered workflows. • Translate business and operational pain points into LLM-based solutions. • Run discovery sessions, use case sprints, and prompt engineering labs with stakeholders. • Stand up fast-cycle experiments and PoCs using tools like ChatGPT, Claude, Gemini, or open-source models. • Package successful experiments into reusable artifacts: prompt libraries, workflows, and solution playbooks. • Facilitate live GenAI learning experiences – intro sessions, role-based labs, and problem-solving workshops. • Build and deliver enablement materials: guides, templates, videos, job aids, and micro-learning tools. • Act as a trusted advisor to teams navigating AI adoption, capability gaps, and workflow redesign. • Launch and operate internal or client-specific “GenAI Labs” to drive adoption and learning-by-doing. • Create frameworks to help teams explore, experiment, and socialize wins across the organization. • Capture real-world insights to inform product, content, and go-to-market strategies.