About this role.
This is a remote independent-contractor talent-pool role mentoring learners in Agentic AI programs. The mentor will provide one-to-one video support, technical deep-dive presentations, and group Q&A sessions for coursework and projects. Candidates need 5+ years of relevant technical experience and strong skills in LLMs, prompt engineering, RAG, tool-using agents, agent orchestration, evaluation, and multi-agent systems. The work is flexible and part-time, with project scope, timelines, and compensation communicated when initiatives become available.
Role DNA
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Job Complexity
4/5Pace & Pressure
3/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the Agentic AI Technical Mentor contractor pool. With more than five years of hands-on experience in AI systems, I can help learners understand LLMs, prompt engineering, RAG, tool-using agents, and multi-agent workflows through practical, approachable instruction.
I bring a learner-centered mentoring style, combining clear technical explanations with thoughtful preparation for one-to-one sessions, project walkthroughs, and live Q&A. I would be glad to create effective deep-dive presentations, diagnose learner challenges, and provide actionable guidance on testing and improving agent performance.
I would welcome the opportunity to support Udacity’s global learning community and help professionals build confidence with emerging Agentic AI technologies.
Sample interview questions
I would begin with the learner’s goal, inputs, available tools, expected outputs, and failure risks. I would then map the workflow into discrete tasks, choose sequential or parallel orchestration where appropriate, define structured interfaces and state transitions, and validate the design with representative test cases before adding complexity.
I use prompt templates with explicit roles, objectives, constraints, input schemas, and output formats. I evaluate prompts against a curated set of realistic and edge-case examples, inspect failures for ambiguity or missing context, and iteratively refine instructions, tool descriptions, and guardrails.
I explain that RAG retrieves relevant external information before generation, which grounds responses in a knowledge source. In a practical demonstration, I would show document chunking, embedding and retrieval, prompt construction with citations or source context, and evaluation of retrieval quality and answer faithfulness.
I would first identify whether the problem originates in retrieval, prompts, tool execution, state handling, model behavior, or orchestration logic. I would add observability through traces and structured logs, reproduce the issue with a minimal test case, measure behavior against expected outputs, and implement targeted fixes with regression tests.
For a deep-dive session, I would define clear learning outcomes, build a concise slide deck around a realistic use case, and include an architecture diagram and live or guided implementation example. I would reserve time for common failure modes and Q&A, then share practical next steps that learners can apply directly to their coursework.
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.
Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.
Our School of AI is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.
As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us.
You’ll be an excellent fit if you have:
- Proven technical expertise with 5+ years of experience in the relevant field
- A passion for mentoring and helping others succeed in their learning
- Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment
- A deep understanding of the tech industry and emerging trends in AI and related fields
- The flexibility to work part-time as an external contractor alongside your current commitments
Mandatory Technical Skills – Agentic AI
Strong understanding of LLMs, prompt engineering, and agentic reasoning frameworks such as CoT and ReAct
Experience designing and implementing prompt chains, role-based prompts, feedback loops, and iterative prompt refinement
Hands-on experience building agentic workflows, including task routing, orchestration, sequential workflows, parallel workflows, and reflective AI workflows
Ability to design and implement AI agents with tool use, API integrations, structured outputs, memory, state management, and database interaction
Experience with RAG-based agent systems, including single-agent and multi-agent RAG implementations
Knowledge of AI agent evaluation, including testing, debugging, and improving agent performance
Understanding of multi-agent system design, including orchestration, routing, state coordination, and multi-agent architectures
Ability to explain complex Agentic AI concepts clearly through instruction, demos, and learner support
Responsibilities:
Your responsibilities as a technical mentor will be divided into three major tasks.
- 1:1 video calls
- Virtual Technical Deep-Dive Sessions
- Group Q&A sessions
Personal 1:1 Session:
- Provide personalized support by addressing learner questions related to course content and projects.
- Prior to the call mentors are expected to review the students’ previous project submission(s) – provided by the Mentor Success Team when available – and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.
Technical Deep-Dive Session:
- For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
- For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.
Group Q&A Session:
- Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.
Why should you apply?
- Make an impact by mentoring and contributing to a vibrant, global learning community
- Showcase your expertise and gain recognition for your technical knowledge
- Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
- Earn additional income with the flexibility to work on your own schedule
Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission.
If you’re passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture.
Let’s work together to shape the future of tech education!
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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