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Salary
≈ $55k – $105k per year (Estimated)
Location
In office (Gdańsk)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jul 27, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

The Opportunity

As Platform Engineering Manager - Neo within the Global Delivery Center, you will play a central role in building and scaling Capgemini’s Group-wide AI platform. Neo is a strategic initiative, and this role is key to ensuring that its AI platform capabilities are delivered with quality, reliability, and scalability at enterprise scale.

You will lead engineering teams responsible for developing and operating AI platform components, working closely with product, cloud, data, and change stakeholders. This role offers a unique opportunity to combine people leadership, technical excellence, and innovation, helping shape the future of AI adoption across Capgemini.

Your Profile

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Proven experience leading platform engineering, cloud engineering, DevOps, SRE, or AI platform teams in complex enterprise environments
  • Solid understanding of AI/ML concepts, MLOps practices, and model operationalization
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and containerization technologies including Docker and Kubernetes
  • Strong technical background in Python or similar programming languages, with experience building and scaling platform services

A strong plus if you bring experience with MLOps tooling, distributed AI systems, open-source contributions, Kaggle participation, or GCP certifications.

Your Role

As Platform Engineering Manager for Neo, you will be responsible for leading engineering delivery while developing a high-performing team capable of building and operating AI-powered solutions at scale.

In this role, you will:

  • Lead, coach, and develop the Neo engineering team, fostering technical excellence and a culture of continuous improvement
  • Oversee the design, development, and evolution of Neo’s AI platform components, ensuring scalable and maintainable solutions
  • Drive platform reliability, scalability, and performance in close collaboration with cloud engineering teams
  • Establish and promote best practices for MLOps, model deployment, platform operations, and engineering delivery
  • Partner closely with product, data, cloud, and change teams to align technical initiatives with business priorities and emerging AI use cases
  • Ensure strong engineering governance, quality standards, and adherence to architectural principles
  • Support roadmap planning, prioritization, and execution across multiple platform workstreams
  • Foster collaboration and innovation across engineering teams to accelerate Neo’s growth and adoption

Your Career

Joining Capgemini is not just about starting a new job. It means becoming part of something bigger. We are a diverse collective of free-thinkers, entrepreneurs, and experts who work together to unleash human energy, imagination, and ingenuity through technology, with the goal of achieving an inclusive and sustainable future.

People are at the heart of everything Capgemini does. You can grow your career exponentially by contributing to innovative projects, developing expertise through our extensive Learning & Development programs, and working in an inclusive, safe, healthy, and flexible environment.

This role provides a unique opportunity to shape how Neo, our enterprise-wide AI platform, is engineered and scaled at an early and high-impact stage. You will work alongside leading experts in AI, cloud, and data while helping define the future of AI-powered experiences across the organization.

About Group IT

At Group IT, we believe that difference drives change. Our vision is bold, and our mission is clear: to empower the business through technology that enables efficiency, profitability, and sustainable growth. We deliver enterprise-wide solutions by harmonizing global standards and integrating all business units into a unified IT services model.

As a strategic partner to the business, Group IT translates complex needs into actionable initiatives, advocating for our stakeholders across the global technological landscape. We are currently driving a series of transformative rollouts and initiatives that enhance security, streamline operations, and elevate digital experiences for every Capgemini employee around the globe.

Our ambition is to build a connected, intelligent, and inclusive IT enterprise accessible to anyone, anytime, anywhere. This is your opportunity to lead change, shape the future, and build technology that matters.

About Capgemini

The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses. We do this by unleashing human energy, imagination, and ingenuity through the power of technology, with the goal of achieving an inclusive and sustainable future.

We are a responsible and diverse organization of more than 340,000 people, present in over 50 countries, with a strong 55+ year heritage. Capgemini is trusted by its clients to unlock the value of technology across the full breadth of their business needs. The Group delivers end-to-end services from strategy and design to engineering, powered by market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a rich partner ecosystem.

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