• Reinforce and expand on concepts covered in Udacity’s AI business leader programs. • Guide learners through Udacity course projects, providing structured, actionable advice. • Share practical industry experience on how AI is deployed, managed, and scaled within organizations. • Clarify complex AI concepts (e.g., generative models, agentic systems, RAG architectures, model evaluation, governance frameworks) in accessible, business-relevant terms. • Discuss how AI decisions are made inside organizations, including trade-offs, constraints, and implementation challenges. • Offer grounded perspective on where AI delivers meaningful value and where it is often misapplied. • Experience with facilitating structured group sessions for professional audiences is strongly preferred.

• Partner directly with our leadership to identify inefficiencies • Spend 90 days rewiring how our agency works • Embed with account teams to learn the "VSC Way" • Use AI stack to build no-code solutions • Deploy tools to the wider team and create teaching materials

• Develop, own, and execute a comprehensive engagement strategy • Lead the content strategy and oversee creation of compelling content • Design and lead a scalable community-based program • Serve as a trusted advisor to senior leaders • Establish frameworks for tracking and measuring effectiveness of engagement initiatives • Provide guidance, coaching, and mentorship to junior team members • Partner with HR, Communications, Learning & Development, and business unit leaders

• Design and implement AI agents capable of reasoning, planning, and tool use • Build multi step agent workflows with memory and state management • Develop production ready RAG systems with optimized retrieval and context handling • Fine tune and evaluate LLMs for domain specific use cases • Implement guardrails, validation layers, and structured output controls • Design evaluation frameworks for reliability, hallucination mitigation, and safety • Build scalable REST APIs to expose AI capabilities • Integrate AI agents with enterprise tools and third party systems • Design microservices and asynchronous systems for high throughput workloads • Optimize inference latency, reliability, and cloud cost • Implement monitoring, logging, and observability for AI services • Work directly with clients to understand business requirements and translate them into AI solutions • Lead technical discovery sessions and solution workshops • Communicate complex AI concepts clearly to non technical stakeholders • Provide architectural recommendations and implementation roadmaps • Support pilots, proofs of concept, and production rollouts