Working with the CIO, our Trading &amp; Sales Entities and our Digital Transformation Office this position will allow you to drive the building and adoption of our AI practices.The AI Enablement practice you will set up and embody has the mission to enable our delivery and business teams across the business units to elevate their delivery pace and quality. You do this through solid, reliable and scalable engineering practices and through AI agents built on (e.g.) a solution like Claude or Copilot.This is an individual contributor role, and you'll be the first dedicated person in this function at MET Group — you're building the practice, rather than joining an established one. It's a hands-on builder and coach role: someone who can sit with a business or engineering team, figure out what could accelerate them, and turn that into e.g. a reusable agent, a tightened pipeline, or a more frictionless way of working. Through this you will drive the maturity growth of the use of end-user-AI productivity solutions. Depending on adoption and maturity progress, there is the natural next objective to developing enterprise grade, governed, autonomous agentic workflows on our enterprise data/ analytics platform.Essential responsibilities<ul><li>Strategy/ Direction: Over time co-evolve the MET Group AI strategy with CIO and key stakeholder. To do this you keep yourself up to date with market developments, including cost developments and open-weight/make/buy considerations.</li><li>Hands-on discovery/prototyping: Work directly with delivery squads across MET entities to diagnose where engineering practice or manual work is costing them time, and design agentic / machine learning or automated solutions for it.</li><li>Engineering Enablement / Agentic Development. Increase quality, security and value delivery, using agentic loops in CICD pipelines. You put in place observability practices and evals</li><li>MLOps, you are familiar with and drive quality/standardization on the following, use of a central feature-store, training data sets, eval data sets, model drift eval. Approach, tooling.</li><li>Change Management/ Adoption: You effectively bring our organization and employees along in their AI adoption journey, you listen, coach, and design and measure adoption of AI practices.</li></ul>

MET Group is an integrated European energy company, headquartered in Switzerland, with activities and assets in natural gas and power markets. MET is present in 15 countries through subsidiaries, 30 national gas markets, and 22 international trading hubs. MET has extensive experience in operating green (renewable) and flexible (conventional) energy assets, thus providing the widest possible support to energy transition. In 2022, MET Group&rsquo;s consolidated sales revenue amounted to EUR 41.5 billion, with a total traded volume of natural gas amounting to 109 BCM and total traded electricity of 67 TWh.

AI (Enablement) Lead Engineer

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About the Company

MET Group

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