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Shape how engineering teams work by turning AI into real impact
Join Philips Innovation Engineering (IEN) to help teams redesign their workflows using Generative and Agentic AI
Work hands-on with engineers as a coach, architect, and enabler to identify high-value use cases, guide them from idea to practical application, and scale AI adoption across the organization
Requirements
Workflow Redesign & AI Discovery: Partnering with engineering teams to analyze current processes and run discovery workshops that translate abstract engineering challenges into practical, AI-enabled workflows
Hands-on Enablement: Working side-by-side with development teams to build, test, and adopt solutions, guiding them seamlessly through the full lifecycle from Proof of Concept (PoC) to Minimum Viable Product (MVP) and early production
Solution Architecture & Structuring: Defining simple, scalable implementation approaches for AI workflows, evaluating 'buy-vs-build' choices for tools and models, and ensuring solutions are reusable
Scaling & Knowledge Sharing: Capturing reusable patterns, code snippets, and workflows across departments, contributing directly to organizational Accelerator playbooks and demos
Responsible AI & Governance: Ensuring all engineered solutions strictly apply privacy, security, and data governance rules in compliance with Philips' enterprise responsible AI principles
Federated Collaboration: Operating as a central technical bridge, collaborating closely with local department AI Champions, Data & AI Engineering teams, and Group IT