Senior Engineering Manager leading Automation and AI Team for General Motors. Driving innovative solutions and managing team capabilities to optimize engineering tools and systems.
About the role
- Technical Mentor with expertise in AI mentoring learners through interactive sessions at Udacity. Supporting global learners in understanding advanced AI topics and applications.
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
- 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.
- 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.
- Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.
Requirements
- 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
- 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.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Deployment Manager overseeing customer experience operations for AI agents. Managing complex deployments from kick - off to automation performance across multiple stakeholders.
AI Product Builder at Abnormal Security developing internal AI - powered solutions for operational efficiency. Owning AI transformation strategy and collaborating with executive leadership to drive impact.
Data & Trust Manager driving TELUS’ initiatives for responsible data use and ethical AI implementation. Collaborating across teams to ensure adherence to privacy and data governance standards.
AI Trainer providing native - level Estonian language vetting and QA for specialized AI project. Evaluate, annotate, and validate data to ensure high - quality human - like communication.
Language Alignment & Resource Partner providing native Arabic language QA for AI data project. Reviewing outputs for accuracy and cultural appropriateness while developing resources.
Sales Specialist leading Data Center and Routing networking solutions for large enterprise accounts at Hewlett Packard Enterprise. Developing long - term sales pipelines and maintaining executive relationships.
AI Analyst designing and implementing innovative AI solutions for SubroIQ. Responsible for developing AI/ML solutions and collaborating across teams for operational goals.
Sales Specialist focusing on Data Center and Routing network sales for large enterprises. Collaborating with account managers to drive new opportunities and enhance existing relationships at HPE.
Sales Specialist leading Data Center and Routing network sales at HPE. Collaborates with Account Managers and drives pipeline growth through consultative relationships.