About this role.
Udacity is seeking an independent AI mentor to support business-focused programs for managers, executives, and other senior professionals. The mentor will guide course projects, facilitate structured discussions, and connect AI concepts to real-world organizational deployment. Candidates need at least five years of AI, machine learning, data science, or AI product experience, including production implementations and familiarity with generative AI, RAG, agents, evaluation, and governance. This role emphasizes executive-level communication, practical judgment, and the ability to tailor explanations to learners with varying technical backgrounds. Mentors work independently, although program opportunities follow defined schedules and agendas.
Role DNA
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Job Complexity
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3/5Autonomy Level
5/5Communication Load
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the AI Mentor role supporting Udacity's Business Leader Programs. With production experience in AI and machine learning, I can translate topics such as LLMs, RAG, evaluation, and governance into practical guidance for senior business audiences.
I bring a consultative communication style, grounded in real-world implementation trade-offs, data quality considerations, and stakeholder alignment. I would welcome the opportunity to facilitate engaging learner discussions and help professionals apply AI responsibly and effectively.
Thank you for your consideration.
Sample interview questions
I would start with the business decision or workflow the learner wants to improve, then explain the technical concept using a relevant operational example. I would clarify assumptions, describe key trade-offs, and finish with concrete questions the organization should answer before implementation.
I would define measurable task-specific criteria, establish a representative evaluation dataset, and assess quality, safety, reliability, latency, and cost. I would also combine automated metrics with structured human review and use production monitoring to detect drift or failure patterns.
I would frame the decision around strategic differentiation, data sensitivity, integration needs, total cost of ownership, vendor maturity, compliance requirements, and internal capabilities. A pilot with explicit success criteria can validate assumptions before making a longer-term commitment.
I would separate the issue into data relevance, completeness, accuracy, timeliness, and potential bias, then connect each dimension to likely model behavior and business risk. I would recommend governance controls, data validation, documentation, and ongoing monitoring rather than treating data preparation as a one-time task.
I would set a clear session objective, use structured prompts and time-boxed discussion, and invite contributions from different experience levels. I would respectfully redirect overly detailed tangents, summarize points of agreement and disagreement, and end with practical next steps.
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.
Udacity’s Values
Obsess over Outcomes – Take the Lead – Embrace Curiosity – Celebrate the Assist
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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