Senior AI Deployment Engineer (m/f/d)

E.ON Drive Infrastructure

2d•Hybrid

About The Position

Join the newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit operating with a startup mindset. Embedded with business functions and regional teams across Europe, you will identify high-impact AI opportunities, build practical solutions, and deploy them quickly to deliver measurable business value at scale. The role reports to the Head of AI Operations and is a senior individual contributor position that also supports Junior AI Deployment Engineers. You will develop production-ready AI systems and integrations, promote adoption through training and enablement, evaluate emerging AI technologies, and create reusable practices that help scale successful solutions. EDRI offers hybrid work, flexible working hours, temporary workations within the EU, a competitive salary, a company pension scheme, and an annual training budget of €5,000.

Requirements

Proven experience delivering AI or automation solutions that are actively used in production.
Production experience with Generative AI, including prompting, RAG, tool integration, agents, and evaluations.
Strong programming skills in Python and/or TypeScript.
Experience working with APIs, integrations, and enterprise business systems.
Ability to quickly translate business challenges into practical, working solutions.
Strong stakeholder-management and communication skills with technical and non-technical audiences.
Hands-on mindset with a strong focus on execution and outcomes.
Passion for innovation, AI, and accelerating the energy transition.

Nice To Haves

Experience with Azure and Microsoft technologies.
Experience with low-code platforms such as Power Automate, n8n, or Make.
A background as a forward deployed engineer, solutions engineer, or consultant who has shipped code.
Experience with change management and user adoption.

Responsibilities

Identify and prioritize AI use cases while working closely with business functions and regional teams.
Design, build, and deploy AI solutions, automations, and integrations in short sprints of under 10 person-days.
Develop production-ready AI systems, including evaluations, monitoring, security, and access control.
Integrate modern AI technologies and agentic systems into existing business processes.
Drive AI adoption through training and enablement.
Measure solution usage, user adoption, and business impact.
Create reusable templates, playbooks, and best practices to accelerate scaling.
Hand over solutions that need to scale to Full-Stack and AI/ML Engineers.
Evaluate emerging AI models, tooling, and agentic systems and bring valuable innovations into the business.
Support Junior AI Deployment Engineers and share knowledge.