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.

Strategic Enablementu00A0

• Drive adoption of (Gen)AI across Innovation Engineering by helping teams move from idea to impactu00A0

• Identify high-value, feasible AI use cases in collaboration with domain experts and product ownersu00A0

• Serve as a trusted technical advisor to senior stakeholders and engineering leadersu00A0

• Translate business objectives into actionable AI architectures and MVPsu00A0

u00A0
Solution Designu00A0

• 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 factoryapplications.As well as data driven optimization in engineering workflows.u00A0u00A0

• Select appropriate AI models (open source or commercial) and platforms.u00A0

• Define technical blueprints and reusable components for use across the organization. Balancing u201Cbuy and makeu201D preferablyleveraging existing industry standard tooling over home grown solutions.u00A0u00A0

u00A0

Execution & Governanceu00A0

• Guide cross-functional teams during development, testing, and deployment phasesu00A0

• Ensure compliance with Philips security, privacy, and regulatory standardsu00A0

• Promote best practices for model evaluation, prompt engineering, and human-in-the-loop feedbacku00A0

• Contribute to shared GenAI standards and reference implementations to scale impactu00A0

• Ensure seamless integration, deployment, and operationalization of AI/ML solutions.