Senior AI Platform Engineer
Key Skills for This Role
Full Job Posting
Your 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.
What you bring
- We want people who have shipped agentic systems used by real users, can navigate unfamiliar systems and understand production engineering. Experience with MCP, orchestration, evaluations, Kubernetes, infrastructure as code, observability, distributed systems, identity or authorization is valuable.
- We welcome different levels of experience and do not expect one person to match everything. The scope of ownership and technical leadership will reflect your experience and strengths. We care more about what you can build, operate and prove than your current title.
- Open source and a fast-moving field
- Open source is part of our product surface. When a dependency lacks an important capability, the default should not be another permanent internal workaround. Where practical, you contribute the implementation, tests and documentation upstream.
- AI changes weekly. You test relevant developments against real workloads and recommend whether to adopt, watch or discard them.
- While applying what to consider?
- Send us your CV or profile, together with evidence of:
- An agentic system you shipped and how agents fit into your workflow.
- An ambiguous problem or incorrect agent output you investigated and resolved.
- An AI development or open-source improvement you tested or contributed to.
- Links are more useful than adjectives. If this changes your pulse, we should talk.
- #LI-SS1
- Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
- We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected].
About Maersk
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