Platform Engineering Manager w Wrocław, Polska

• Bachelor's or master's degree in computer science/engineering, or a related field.
• Proven experience managing engineering teams in AI/ML, platform, or cloud environments.
• Solid understanding of AI/ML concepts, MLOps workflows, and model operationalization.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Technical background in Python or similar languages, with experience scaling platform services.
• Strong communication and stakeholder‑management skills, working with product, cloud, comms, and change teams.
• Bonus: experience with MLOps tools, distributed AI systems, open‑source contributions, Kaggle, or GCP certifications.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your role

As the Engineering Manager within Capgemini, you will be responsible for leading the delivery teams behind Neo, the newly launched Group-wide AI platform. You will manage the engineers who build and operate Neo’s AI capabilities, ensuring high-quality delivery and smooth collaboration across cloud, data, product, and change teams. This role is central to translating business needs into scalable platform features while supporting teams through the rapid evolution of Neo.

What You'll love about working here

• Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

,[Managing and developing the Neo engineering team to ensure high-quality delivery and strong technical standards., Overseeing and coordinating the design, build, and evolution of Neo’s AI platform components., Ensuring and improving the scalability, performance, and reliability of the platform in collaboration with cloud engineering., Standardizing and promoting best practices in MLOps, model deployment, and platform operations., Partnering closely with product, data and change teams to align technical work with business priorities and upcoming AI use cases.] Requirements: Degree, AI, ML, Cloud, MLOps, Cloud platform, Azure, GCP, Docker, Python, Stakeholder management Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.