Lead AI Platform Engineer - Agentic Systems

APM Terminals; København; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Maersk in Denmark is seeking a platform engineer to build, deploy and operate agentic systems that scale production engineering. You will own platform capabilities from design through production, ensure reliability, security and cost efficiency, and work with an agent fleet to explore and validate solutions.

You will review outputs, run experiments, document findings and help domain teams turn challenges into reusable tools.

Qualifications

• Experience shipping agentic systems used by real users.
• Able to navigate unfamiliar systems and production engineering.
• Valued knowledge of MCP, orchestration, evaluations, Kubernetes, infrastructure as code, observability, distributed systems, identity or authorization.

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.

Skills

MCP

Orchestration

Evaluations

Kubernetes

Infrastructure as code

Observability

Distributed systems

Identity/Authorization

Job description

Maersk in Denmark is seeking a platform engineer to build, deploy and operate agentic systems that scale production engineering. You will own platform capabilities from design through production, ensure reliability, security and cost efficiency, and work with an agent fleet to explore and validate solutions.

You will review outputs, run experiments, document findings and help domain teams turn challenges into reusable tools.