Job Description
Your role:
Strategic Enablement
- Drive adoption of (Gen)AI across Innovation Engineering by helping teams move from idea to impact
- Identify high-value, feasible AI use cases in collaboration with domain experts and product owners
- Serve as a trusted technical advisor to senior stakeholders and engineering leaders
- Translate business objectives into actionable AI architectures and MVPs
Solution Design
- Design end-to-end AI solutions involving LLMs, prompt engineering, MCPs, agents but also non LLM application of machine learning for e.g vision, acoustics, mechatronics and factory applications. As well as data driven optimization in engineering workflows.
- Select appropriate AI models (open source or commercial) and platforms.
- Define technical blueprints and reusable components for use across the organization. Balancing “buy and make”; preferably leveraging existing industry standard tooling over home grown solutions.
Execution & Governance
- Guide cross-functional teams during development, testing, and deployment phases
- Ensure compliance with Philips security, privacy, and regulatory standards
- Promote best practices for model evaluation, prompt engineering, and human-in-the-loop feedback
- Contribute to shared GenAI standards and reference implementations to scale impact
- Ensure seamless integration, deployment, and operationalization of AI/ML solutions.
You're the right fit if:
- Bachelor’s Degree in Information Technology or related field. Master's degree is preferred.
- At least 12 years’ experience, with proven experience in AI/ML solution architecture and system engineering, ideally in an enterprise or regulated environment
- Deep understanding of generative AI technologies (LLMs, prompt engineering, retrieval-based generation, agents)
- Strong hands-on experience with cloud-based AI platforms and modern GenAI toolkits and frameworks.
- Familiarity with programming concepts and common AI/ML development languages (e.g., Python)
- Experience in classical computer vision (OpenCV, image preprocessing, object detection, etc.) would be nice to have.
- Ability to communicate complex technical topics to non-technical audiences
- Ability to thrive in a multi stakeholder environment
- Systems thinking mindset and ability to work across domains (hardware, systems, software)
- Collaborative, proactive, and energized by enabling others to succeed
- Handson experience in applied Data and AI is a must