AI Platform Engineer and Advocate (Databricks)

About The Role We're looking for an AI Platform Engineer and Advocate with deep Databricks expertise. Our central platform team helps Körber's Business Areas build faster data and AI solutions. In this role, you'll promote the data science, ML, and GenAI capabilities of our platform and drive their rollout, so that teams across the Business Areas adopt them and use them well.

You'll define the guardrails and standards that keep a growing Databricks platform governable at scale. You'll keep a close eye on new Databricks features and GenAI tooling, and give teams a clear call on what to adopt, what to wait for, and what to avoid. And you'll turn what you learn in hands-on engagements into reusable patterns, so every team benefits, not just the one you worked with.

Through workshops, hackathons, technical demos, internal communities, and knowledge-sharing programs, you will inspire data and AI teams to adopt new ways of working and keep improving their craft.

This is a senior individual contributor role with group-wide reach. Your impact shows in how quickly teams get to production, how consistently they build, and how few of them reinvent the same solution.

What You'll Do Engage hands-on

• Evaluate new Databricks features and GenAI tooling, and give clear adopt / wait / avoid recommendations
• Lead Databricks platform engagements with Business Area teams by providing consulting, blueprints, and best practices
• Turn what you learn in engagements into reusable patterns for everyone else

Write the playbook

• Produce reference architectures, blueprints, and step-by-step implementation guides that teams actually use
• Write opinionated best-practice guides that are technically rigorous and easy to use
• Turn Databricks releases into clear internal guidance on what matters for us, what to adopt, and what to ignore

Grow the community

• Build and lead a community of practice for data scientists and ML engineers across all Business Areas
• Design and deliver trainings, hands-on workshops, office hours, and hackathons
• Present at internal tech forums and explain the platform vision to senior leadership

Close the loop

• Collect pain points and adoption blockers from teams, and turn them into prioritized input for the platform team
• Measure adoption and practice maturity, and report on progress

What You Bring Must-haves

• 6+ years in data science, ML engineering, or AI platform roles, including time spent building models or AI systems yourself
• Hands-on Databricks experience in production: Unity Catalog, MLflow, Model Serving, and Lakeflow Jobs/Workflows
• Experience with newer Databricks capabilities such as Agent Bricks, Genie, Feature Engineering, and AI Gateway
• Hands-on experience building GenAI applications such as RAG or agents, including evaluation and monitoring
• Experience defining MLOps or engineering standards that other teams adopted
• You explain complex topics clearly to engineers, data scientists, and leadership, and people enjoy your workshops

Nice to have

• A track record in enablement, developer advocacy, or consulting, such as building communities, running trainings, or publishing technical content
• Experience in industrial or manufacturing environments
• Databricks certifications

Your benefits ::

• Competitive compensation package.
• Opportunities for professional growth within a global organization.
• A work environment that values collaboration, efficiency, and commitment.
• Continuous learning and development opportunities.

Please apply exclusively via the “Apply now” button. We value diversity and therefore welcome all applicants - regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status

Can you find yourself in this profile? Then you are right at Körber. We are looking forward to getting to know you

Please reach out on [email protected]