AI Platform Engineering Leader

Talanto; Województwo pomorskie; Hybrid; PLN 320,000 - 520,000; Full time

Benefits offered by this job

Yearly financial bonus

Private medical care

Life insurance

Job summary

Capgemini is seeking an Engineering Manager to lead the Neo AI platform delivery teams. You will manage engineers, ensure high-quality delivery, and coordinate across cloud, data, product, and change teams to translate business needs into scalable platform features.

The role requires a strong AI/ML background, cloud experience (AWS/Azure/GCP), and expertise in MLOps and containerization. A hybrid work model is offered.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Team management

AI/ML concepts

MLOps

Cloud platforms

Python or similar

Communication

MLOps tools (bonus)

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Job description

Capgemini is seeking an Engineering Manager to lead the Neo AI platform delivery teams. You will manage engineers, ensure high-quality delivery, and coordinate across cloud, data, product, and change teams to translate business needs into scalable platform features.

The role requires a strong AI/ML background, cloud experience (AWS/Azure/GCP), and expertise in MLOps and containerization. A hybrid work model is offered.