Agentic AI Platform Engineer

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Agentic AI Platform Engineer (all genders)

Your Role

As an Agentic AI Platform Engineer, you contribute hands-on to building and operating a growing enterprise agentic AI platform. Working within an experienced team and with guidance from senior colleagues, you apply established engineering methods to develop, integrate, and maintain platform capabilities — from Model Context Protocol (MCP) tooling and Agent-to-Agent (A2A) communication patterns to CI/CD pipelines and API security. Your work directly supports the reliability and quality of platform services used across the organisation.

Who You Are

• You hold a degree in Computer Science, Software Engineering, or a related field, or bring equivalent professional experience, with 3+ years in backend or platform engineering.

• You have practical experience with MCP (Model Context Protocol) concepts — including tools, resources, prompts, and server lifecycle management — and familiarity with Agent-to-Agent (A2A) communication patterns such as agent discovery and task delegation.

• You are comfortable working with cloud platforms and agentic AI frameworks (such as LangGraph or comparable technologies) to support the deployment and operation of agent workloads.

• You have working knowledge of API security practices, including OAuth 2.0, SSO, and standard authentication flows, and can apply these within established guidelines.

• You have hands-on experience building or maintaining CI/CD pipelines and infrastructure automation, ideally using Azure DevOps or similar tooling.