Claude AI Engineer Technical Mentor - Independent Contractor (US Canada, Europe, MENA, India & APAC Timezones)

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. Udacity 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 – Claude AI Engineer • Anthropic Claude Ecosystem: Claude API, Claude Code, Claude Agent SDK, Model Context Protocol (MCP) • Agentic AI Development: AI Agents, Multi-Agent Systems, Agent Orchestration, Tool Calling & Workflow Design • Prompt & Context Engineering: Prompt Engineering, Context Engineering, Structured Outputs (JSON Schema), AI Validation • Programming & APIs: Python (required), REST APIs, JSON, Bash/Shell Scripting • Software Engineering & Architecture: System Design, Solution Architecture, API Design, Code Review, Design Patterns • Data & Production AI Systems: SQL, Data Extraction, Error Handling, State Management, Human-in-the-Loop Workflows • DevOps & CI/CD: Git, GitHub, CI/CD Pipelines, Automated Testing, MCP Server Integration Exposure to real-world data projects (analytics, engineering, or architecture) 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. Th