Architect, Agentic AI Platform & Scale

Maersk Group - A.P. Møller Mærsk; København; On-site; DKK 750,000 - 1,200,000; Full time

Job summary

Maersk Group - A.P. Møller Mærsk is seeking an engineer to build agentic systems that scale production platforms.

You will own platform capabilities from design through production, focusing on reliability, security, and performance while leveraging an agent fleet to explore repositories and run experiments. Open source collaboration is encouraged; you will work with MCP, orchestration patterns, Kubernetes, and IaC to create reusable patterns.

Qualifications

• Experience with MCP, orchestration, evaluations, Kubernetes, infrastructure as code, observability, distributed systems, identity or authorization is valuable.

Responsibilities

• Own platform capabilities from design through production, including reliability, security, performance and cost.
• Use your agent fleet to explore repositories, implement solutions, build tests and investigate failures.
• Verify agent output through code review, tests, evaluations, traces and benchmarks, and improve workflows when output fails.
• Work with domain teams to understand their needs and turn recurring challenges into reusable tools and platform capabilities.
• Contribute to technical direction by evaluating alternatives, explaining trade-offs and making decisions within your area of ownership.
• Support less experienced engineers through mentoring, pairing and constructive code reviews, helping them build confidence and take ownership.
• Share engineering practices across the team, including how to scope work for agents, challenge their output and verify results.

Skills

MCP

Kubernetes

Observability

Distributed systems

Identity/authorization

IaC

Job description

Maersk Group - A.P. Møller Mærsk is seeking an engineer to build agentic systems that scale production platforms.

You will own platform capabilities from design through production, focusing on reliability, security, and performance while leveraging an agent fleet to explore repositories and run experiments. Open source collaboration is encouraged; you will work with MCP, orchestration patterns, Kubernetes, and IaC to create reusable patterns.