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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:
- 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.
You’ll engage with learners who vary in technical fluency, so the ability to adjust your
explanations and examples is important.
Required skills/qualifications:
- 5+ years working in
AI, Machine Learning, Data Science, or AI Product roles.
- Direct experience deploying AI/ML systems in production
environments.
- Familiarity with generative AI (LLMs, RAG, tool use, evaluation) and/or agent-based systems.
- Solid
understanding of model evaluation and how data quality impacts outcomes.
- Experience working with business stakeholders or
senior leadership.
- Ability to explain technical trade-offs clearly without oversimplifying.
- Strong communication
presence and ability to manage group discussions.
Nice to Have:
- Experience leading AI
initiatives inside an organization.
- Exposure to vendor evaluation or build-vs-buy decisions.
- A background that
spans both technical and business responsibility.
- Previous mentoring, coaching, or teaching experience.
Why should you apply?
Gain
recognition for your technical knowledge
Earn additional
income
Contribute to a vibrant, global student
community
Stay updated on the latest cutting-edge
technologies
There are only Limited open
positions, so please don’t wait too long to apply!
Before applying, we would request you
to kindly complete the General Information
Form if you haven't filled it already.
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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Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate
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