AI (Enablement) Lead Engineer

SmartRecruiters, Inc.; Baar; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

MET Group is building an AI Enablement practice to empower delivery and business teams with scalable AI solutions and end-user productivity tools. The role is hands-on, acting as both builder and coach to accelerate adoption and maturity across business units.

You will partner with the CIO and Trading & Sales entities, delivering reusable AI agents and optimized pipelines, with potential to evolve into enterprise-grade, governed autonomous workflows on our analytics platform.

Qualifikationen

• 6+ years of hands-on industry experience in software engineering and AI/data science developing ML solutions and AI agents for end-user-AI tooling and enterprise agentic AI.
• Degree in Data Science, Artificial Intelligence, Software Engineering
• Ability to connect across Sales, Trading, Technology, Senior Management to derive insights for business cases
• Coaching instinct to help teams become more autonomous

Aufgaben

• Strategy/direction: co-evolve MET Group AI strategy with CIO and stakeholders.
• Hands-on discovery/prototyping with delivery squads to design agentic/ML solutions.
• Engineering enablement: improve quality, security and value delivery with agentic loops in CI/CD pipelines.
• MLOps: standardize feature stores, data sets, evals, model drift, tooling.
• Change management/adoption: coach teams and measure AI adoption progress

Kenntnisse

Software engineering

AI / data science

Stakeholder communication

Coaching

Ausbildung

Data Science, Artificial Intelligence, Software Engineering

Tools

Databricks

Azure Cloud

LLMOps

MLOps

Agent orchestration

OpenRouter

Jobbeschreibung

MET Group is an integrated energy company, and providing energy solutions in more than 24 countries, we are on the journey to be the pan-European energy champion. A frictionless customer experience and smart digital (AI-supported) solutions are part of our customer promise and vision.

Job Description

Working with the CIO, our Trading & 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.

• 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.
• 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.
• Engineering Enablement / Agentic Development. Increase quality, security and value delivery, using agentic loops in CICD pipelines. You put in place observability practices and evals
• 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.
• 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.

Qualifications

• 6+ years of hands-on industry experience in software engineering and AI/data science developing ML solutions and AI agents for end-user-AI tooling (e.g. Claude) and enterprise agentic AI (prompt/agent design, tool use, evaluation), and fundamental understanding of and experience with building data science solutions in general.
• Degree in Data Science, Artificial Intelligence, Software Engineering
• The ability to connect in various contexts (Sales, Trading, Technology, Senior Management) and ask the right questions to get to key insights that allow for strategic analysis and business case development
• A coaching instinct: you guide, teams, management to build their own skills to become more and more autonomous

Nice to have

• Experience with: Databricks, Azure Cloud, Azure Foundry, agent-orchestration frameworks and LLMOps, MLOps, Azure-agentic development tooling, LLM-Gateways (openRouter)
• Exposure working in the B2C/B2B energy industry

Additional Information

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply