
Senior GenAI Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Muenchen • Germany
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Job Level
Tech Stack
About the role
- You are responsible for designing scalable data architectures and data pipelines that enable modern AI and analytics solutions.
- You develop and operationalize innovative ML and generative AI approaches, including RAG systems, creating real business value.
- You work closely with interdisciplinary teams and translate complex requirements into future-proof technical solutions.
- You ensure the highest data quality, clear governance and optimal performance across all systems.
- You strengthen the engineering team through best practices, knowledge transfer and clear technical guidelines, and contribute your technical expertise to the preparation of proposals.
Requirements
- You have extensive experience in Data Engineering, AI Engineering or cloud-based data solutions and hold a relevant academic qualification.
- You are proficient in Python, SQL/NoSQL, big data technologies and graph databases such as Neo4j or AWS Neptune.
- You have hands-on experience with AWS, Azure or GCP and are comfortable working with cloud data warehouses like Snowflake, Redshift or BigQuery.
- You are familiar with data science and generative AI frameworks as well as modern MLOps environments (CI/CD, Docker, Kubernetes).
- You communicate confidently in German and English and thrive in innovative, collaborative environments, enabling you to excel at stakeholder management across different hierarchy levels.
Benefits
- An environment where you can continuously develop.
- Our range of training programs will help you discover a world of opportunities — whether through technical training, mentoring or innovative projects.
- Work–life balance: work flexibly — depending on project assignment and team agreement, you have the option to work location-flexibly and with flexible hours at various sites.
- Diversity fuels inspiration and innovation in our company — work in a diverse and open team that values mutual support and exchange.
- Not a 100% match? No problem! Capgemini Engineering supports you with a broad learning offering so you can develop both professionally and personally.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringAI Engineeringcloud-based data solutionsPythonSQLNoSQLbig data technologiesgraph databasesMLOpsdata science
Soft Skills
communicationstakeholder managementcollaborationknowledge transfertechnical expertise