What to Expect
Start date: September 2026
Location: Amsterdam
Duration: 6 months
Time type: Full-time
Please note that you have to be enrolled in education throughout the whole internship period to be considered.
The Automation, Analytics and AI (AAA) team treats the organization as a factory. Mapping every workflow as if it were a production line, measuring cycle time, lead time, and throughput, and systematically removing bottlenecks using a 5-step methodology: question requirements, delete, simplify, accelerate, then automate.
We are in the middle of a fundamental transformation: moving EMEA Energy Operations from scattered documentation with no sequentiality into a fully mapped system with clear dependencies, measurements, and AI-augmented execution. One year from now, every team member will manage AI agents the way a factory supervisor manages machinery.
As an AAA Intern, you will be embedded in this transformation from day one. This is not a support role. You will:
- Actively map the organization in new ways. Extracting process intelligence from documentation, building BPMN process models, writing automation scripts, developing internal tools, and helping teams adopt AI as a daily force multiplier
- You will work across the full AAA pipeline: from new request intake and 5-step analysis, through solution design and development, to shipping, maintenance, and technical debt retirement
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Map business processes end-to-end using BPMN notation (through AI), making the invisible visible — documenting workflows, dependencies, cycle times, and identifying where the 5-step process should be applied first
- Support the "Confluence-to-BPMN bootstrap": use AI to extract process information from scattered existing documentation, flag outdated or contradictory steps, and build structured process models from unstructured knowledge
- Write and maintain Python and SQL scripts to automate repetitive tasks, with clean code, version control discipline, and proper documentation
- Work with APIs and data pipelines — connecting systems, structuring data flows, and understanding how information moves across the organization
- Support the AI democratization program: help run AI onboarding sessions, prepare training materials, assist users with Claude/MCP/skills setup, and contribute to the AI Coach RAG
- Contribute to retiring technical debt in existing automation solutions
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Must be currently enrolled in AI, Data Science, Engineering, Computer Science, Statistics, Economics, or a related field
- AI-native workflow: you use AI tools (LLMs, Claude, coding assistants, prompt engineering) across 90%+ of your daily work. Writing code, analyzing data, drafting docs, debugging, and research, you understand the Claude ecosystem: MCPs, skills, knowledge bases, PRD files, Karpathy wiki framework, and how to build structured AI-powered workflows. AI is how you work
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API literacy: you understand RESTful APIs, can read API documentation, and can wire systems together programmatically
- Web application development: experience building or contributing to web apps using modern frameworks
- Familiarity with Git and version control for collaborative development
- Fixer mentality: when you identify a problem, you arrive with a proposed solution, not just a flag. You have agency, you move with urgency, and you don't wait to be told what to do
- Fast learner: you can ramp up on unfamiliar tools, domains, and frameworks quickly. If you don't know something today, you figure it out by tomorrow
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
