AI Solution Architect

Job Title

AI Solution Architect

Job Description

Innovation 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

We are seeking an AI Solutions Architect to enable the adoption and acceleration of AI across Innovation Engineering (IEN). This high-impact role is central to our ambition to integrate AI deeply into our engineering workflows—across hardware, systems, software development, and platforms. 

AI Solution Architect

As a key member of the AI Council, you play a pivotal role in the transformation of IEN. The AI Council operates as a federated network that identifies, prioritizes, and accelerates high-impact AI use cases across Philips Engineering. You will support engineering teams by identifying opportunities, designing solutions, and helping them bring AI-enabled prototypes to life.

 

This is a hands-on and strategic position, ideal for someone who combines deep technical expertise in AI with a strong sense of business value and stakeholder influence. The application of AI in IEN is broad. Ranging from Generative AI to Vision Based AI for quality control to predictive analytics, factory optimization to AI integrated in the products and systems. 

Your work bridges the gap between business needs and technical execution, ensuring that AI initiatives deliver measurable value.

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 y