About the roleWe'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 current 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 doEngage hands-onEvaluate new Databricks features and GenAI tooling, and give clear adopt / wait / avoid recommendationsLead Databricks platform engagements with Business Area teams by providing consulting, blueprints, and best practicesTurn what you learn in engagements into reusable patterns for everyone elseWrite the playbookProduce reference architectures, blueprints, and step-by-step implementation guides that teams actually useWrite opinionated best-practice guides that are technically rigorous and easy to useTurn Databricks releases into clear internal guidance on what matters for us, what to adopt,



and what to ignoreGrow the communityBuild and lead a community of practice for data scientists and ML engineers across all Business AreasDesign and deliver trainings, hands-on workshops, office hours, and hackathonsPresent at internal tech forums and explain the platform vision to senior leadershipClose the loopCollect pain points and adoption blockers from teams, and turn them into prioritized input for the platform teamMeasure adoption and practice maturity, and report on progressWhat you bringMust-haves6+ years in data science, ML engineering, or AI platform roles, including time spent building models or AI systems yourselfHands-on Databricks experience in production: Unity Catalog, MLflow, Model Serving, and Lakeflow Jobs/WorkflowsExperience with newer Databricks capabilities such as Agent Bricks, Genie, Feature Engineering, and AI GatewayHands-on experience building GenAI applications such as RAG or agents, including evaluation and monitoringExperience defining MLOps or engineering standards that other teams adoptedYou explain complex topics clearly to engineers, data scientists, and leadership, and people enjoy your workshopsNice to haveA track record in enablement, developer advocacy, or consulting, such as building communities, running trainings, or publishing technical contentExperience in industrial or manufacturing environmentsDatabricks certificationsYour 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 statusCan you find yourself in this profile? Then you are right at Körber. We are looking forward to getting to know youPlease reach out on [email protected]

📌 Ai Platform Engineer (Bengaluru)
🏢 Aon
📍 Bengaluru