GenAI & Agentic Systems Architect

Capgemini; Utrecht; On-site; EUR 90,000 - 130,000; Full time

Job summary

Capgemini is seeking an Agentic AI Engineer to design, build, and scale agentic architectures that boost engineering productivity and automate complex SDLC workflows. You will translate prototypes into production-grade platforms, lead GenAI and AI-driven architectures, and collaborate with enterprise teams on secure, scalable solutions.

This hands-on role rewards speed, ownership, and craftsmanship while mentoring teams and delivering measurable business impact across large organizations.

Qualifications

• 5+ years of experience in Software Engineering, ML Engineering, or related fields.
• Strong programming skills with a polyglot mindset.
• Experience with cloud platforms and DevOps practices.
• Hands-on experience with GenAI, LLMs, and agent-based systems.
• Experience building and deploying production-grade applications.
• Knowledge of Infrastructure as Code (Terraform, Bicep).
• Strong understanding of system design, scalability, and reliability.
• Familiarity with monitoring, observability, and AI governance.

Responsibilities

• Design scalable and production-ready GenAI systems.
• Build portable AI platforms using modern cloud technologies.
• Lead API, event-driven, and AI workflow architectures.
• Ensure governance, security, and performance of AI systems.
• Work closely with engineering, product, and business teams.
• Translate ideas into scalable technical solutions.
• Communicate effectively with both technical and non-technical stakeholders.
• Strong problem-solving and ownership mindset.

Skills

GenAI

LLMs

Cloud platforms

DevOps practices

Polyglot programming

System design

Observability

AI governance

Tools

Terraform

Bicep

Job description

Capgemini is seeking an Agentic AI Engineer to design, build, and scale agentic architectures that boost engineering productivity and automate complex SDLC workflows. You will translate prototypes into production-grade platforms, lead GenAI and AI-driven architectures, and collaborate with enterprise teams on secure, scalable solutions.

This hands-on role rewards speed, ownership, and craftsmanship while mentoring teams and delivering measurable business impact across large organizations.