Key Responsibilities:
AI Model & Automation Evaluation: Assess emerging GenAI models, LLMs, and automation platforms for technical fit, security, and data privacy. You serve as the final "Technical Sign-off" before any new AI tool or automated workflow is deployed company-wide.
Intelligent Architectural Review: Audit and review advanced scripts, prompt pipelines, and autonomous workflows developed by "Satellite" creators (e.g., in Engineering, Operations, or Finance). You ensure their automation logic is efficient, secure, and seamlessly integrated with our core systems.
AI Training & Enablement: Upskill the organization by designing and delivering internal AI workshops, prompt engineering trainings, and automation bootcamps. You empower decentralized teams to build responsibly while maximizing the company's return on technology investments.
Financial Oversight & Cost Optimization: Monitor, track, and optimize the company's AI and automation spending (e.g., API consumption, token usage, SaaS licensing). Implement strategies to minimize token waste and prevent run-away cloud or automation costs.
AI Governance & Framework Definition: Establish the "Rules of Engagement" for internal AI usage, including prompt engineering standards, data masking protocols, security boundaries for enterprise APIs, and webhooks.
Innovation Scouting & Build vs. Buy: Conduct continuous market research on the AI landscape. Run ROI analyses to determine whether a business problem is best solved by a custom internal AI agent or by procuring an enterprise vendor solution.
Your Profile:
Education: Degree in Computer Science, Artificial Intelligence, Business Informatics, or a related technical field with a strong focus on systems architecture or IT management.
AI & Automation Literacy: Strong ability to read, audit, and optimize code (Python, JavaScript) used in automations, combined with a solid understanding of how LLMs and API integrations function under the hood.
Financial & Systems Assessment: Deep understanding of how autonomous agents, middleware, and SaaS integrations safely connect within an enterprise ecosystem, alongside a sharp eye for FinOps (managing cloud and API token costs).
Risk & Bias Awareness: Skilled at evaluating technical debt, data leakage risks, and API rate-limiting constraints. You can predict how a rogue automation today might impact the corporate budget and network tomorrow.
Consultative & Educational Communication: Fluent in English (German is a plus). Passionate about teaching, with the ability to translate complex AI concepts into accessible training sessions for non-technical employees, while guiding departmental developers toward secure outcomes.
Preferred Qualifications
Experience implementing enterprise automation tools (e.g. Make .com, n8n, LangChain, or custom API integrations).
Experience in driving internal training initiatives, tech-talks, or change management for AI adoption.
Familiarity with AI compliance, data privacy laws (GDPR regarding AI), and security frameworks (e.g., TISAX or ISO 27001).
Our Offer & Benefits
The chance to be part of a highly innovative, agile, and unique team with prestigious customers in the automotive and battery storage sector. You will gain a deeper knowledge around connected & electric vehicle batteries, battery management and electronics development and strive in an exciting work environment
Benefits (Full-time Employees):
Trust-based working hours and hybrid work
Adequate and competitive compensation
Pension Plan/Bonus
Free access to the fitness center right next to us or subsidized EGYM Wellpass
Free snacks, coffee, drinks and lunch (freshly cooked by our chef) every day
Public transport ticket
Bike-Leasing via Business Bike
Experience various inspiring and fun team events
ME-branded clothing
Option to "work from anywhere" (6 weeks/year)
Schätzung auf Basis von 6 Stellenanzeigen mit Gehaltsangabe aus den letzten 6 Monaten auf baito. Das ist kein Angebot dieses Arbeitgebers.

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