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Confidential company is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

Are you passionate about AI and excited about taking Generative AI capabilities from prototype to production inside a real enterprise? We are looking for a dedicated AI Engineer to join the CApS AI Engineering team and help build and productionise embedded AI capabilities across CApS—delivering solutions that are secure, scalable, measurable, and operationally ready.

Role Purpose-

Embedded AI delivery (copilots, assistants, agentic workflows, retrieval-augmented experiences),
Platform & tooling foundations (golden paths, reusable templates, reference integrations),
Governance-by-design (risk controls, auditability, privacy/security expectations),
Enablement (helping other CApS teams adopt AI patterns confidently and safely).





Role Clarification (Included and Excluded Responsibilities)

A partner in designing, building, and operating AI-enabled capabilities that solve real operational and product problems.
An enabler of scale through reusable patterns, templates, and guidance.

This role is not intended to be:

A helpdesk or on-demand support line for ad hoc experimentation.
A centralized team that “does AI for everyone” end-to-end.
A dumping ground for unfinished prototypes.

Key Responsibilities-

As an AI Engineer, you will design, build, and maintain AI-enabled capabilities powered by Large Language Models (LLMs), working closely with product and platform teams.

You’ll make a difference by:

Designing & delivering embedded AI capabilities (copilots, agents, workflows)

Designing and implementing AI features using validated patterns such as RAG, tool calling, agents, and multi-step workflows.

Integr

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