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You will be updated with latest job alerts via emailInnovation Engineering (IEN) partners with Business Units and Functions to accelerate innovation and enhance quality aligning closely with product roadmaps and priorities. We provide a focused portfolio of digital innovation and system platforms that enable our Philips Businesses to scale innovation
AI Solution Architect
As an AI Solutions Architect within the AI Council you will drive AI adoption across Innovation Engineering by identifying and prioritizing high-impact AI use cases ranging from Generative AI to vision-based quality control and predictive analytics for factory optimization.
You will design and develop AI-enabled prototypes providing hands-on technical expertise to engineering teams while aligning solutions with business objectives. Collaborating with stakeholders you will create scalable AI architectures that integrate into hardware systems and software workflows. Your strategic influence ensures AI initiatives deliver measurable value bridging business needs with technical execution.
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.
Youre the right fit if:
How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the companys facilities.
Field roles are most effectively done outside of the companys main facilities generally at the customers or suppliers locations.
This role is an office-based role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
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Full-Time