Tech Talk: AI Fundamentals & Applied AI Mentor

Udacity•San Francisco, CA

50d

About The Position

About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. In our mission toward powering careers through tech education, we are doubling down on the support that we offer to our students. As a part of this, we are looking for experienced AI professionals to mentor learners enrolled in our business-focused AI programs. Our learners are typically managers, executives, and other senior professionals responsible for AI initiatives inside their organizations. They are working through structured Udacity curriculum and applied projects. Mentors are there to deepen understanding, provide context from real-world experience, and help connect course concepts to how AI is actually deployed. This is not a purely academic role. We’re looking for practitioners who have actually worked with AI in production environments and can speak candidly about what works, what fails, and why.

Requirements

3+ years working in AI/ML, data science, software engineering, or applied AI roles
Experience delivering at least one of the following: internal training client workshops conference talks teaching / mentoring / facilitation
Comfortable presenting to audiences of 20–200 (or similar scale)
Strong English communication skills

Nice To Haves

Experience implementing GenAI solutions (OpenAI, Anthropic, Azure OpenAI, etc.)
Experience with Retrieval-Augmented Generation (RAG)
Experience with AI evaluation or model monitoring
Experience with enterprise AI adoption programs
Experience teaching non-technical audiences
Background in security/privacy/compliance

Responsibilities

Delivering live AI learning sessions for audiences ranging from 10-100 participants , including entry-level cohorts, cross-functional teams, and leadership groups
Teaching AI fundamentals in a clear and accessible way (AI vs ML vs GenAI, what LLMs are, limitations, risks, and best practices)
Demonstrating practical AI use cases that map to real work (productivity, analysis, writing, customer support, engineering workflows, and decision-making)
Training employees on role-based AI adoption , including how to use AI responsibly and effectively in their current role
Delivering leader-focused AI sessions that cover strategy, governance, risk, and organizational adoption (not just tools)
Facilitating Q&A and discussion , helping teams apply concepts to their day-to-day work and current challenges
Partnering with internal stakeholders to align talk content with audience level, learning objectives, and delivery expectations
Maintaining high delivery quality and reliability , including preparation, responsiveness, and adherence to session timeline