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.
Responsibilities:
As an AI Fundamentals & Applied AI Tech Talk Speaker, you will deliver engaging, structured learning sessions that help client teams understand and adopt AI in practical, responsible ways. You will work with our internal team to tailor sessions to the audience’s role, seniority, and learning goals.
You could be responsible for delivering any of the following:
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
Required Qualifications:
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
Preferred Qualifications:
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
Why should you apply?
There are only Limited open positions, so please don’t wait too long to apply!
Note: Technical Mentors work independently and set their own schedule. However, the above-mentioned opportunities are subjected to a specific schedule and agenda. If selected you would be provided with access to the Mentorship Nanodegree program. You are requested to graduate from the Mentorship Nanodegree in order to be onboarded as a Technical Mentor.
Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Equal Opportunity Statement
Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
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