Are you ready to bridge the gap between AI concepts and scalable, production-ready engineering workflows? As an Agentic AI Engineer at Philips Innovation Engineering, you build and optimize smart AI systems that directly accelerate business processes.
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In this role at Philips Innovation Engineering, you connect advanced Generative and Agentic AI models with daily engineering work. Collaborating with the AI Solution Architect and engineering teams, you make data AI-ready and transform prototypes into robust applications. You operate across low-code and pro-code environments, embedding AI capabilities seamlessly into complex workflows.
Your main responsibilities:
• You structure, curate, and organize data in databases and knowledge bases to ensure it is fully AI-ready.
• You design and implement robust data integrations using APIs and Model Context Protocols (MCPs).
• You transform prototypes and MVPs into stable, reusable, and scalable production solutions.
• You apply AgentOps practices to monitor performance, optimize costs, and continuously improve systems.
• You advise and support engineering teams in adopting both low-code and pro-code AI tools.
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Are you ready to bridge the gap between AI concepts and scalable, production-ready engineering workflows? As an Agentic AI Engineer at Philips Innovation Engineering, you build and optimize smart AI systems that directly accelerate business processes.
In this role at Philips Innovation Engineering, you connect advanced Generative and Agentic AI models with daily engineering work. Collaborating with the AI Solution Architect and engineering teams, you make data AI-ready and transform prototypes into robust applications. You operate across low-code and pro-code environments, embedding AI capabilities seamlessly into complex workflows.
Your main responsibilities:
• You structure, curate, and organize data in databases and knowledge bases to ensure it is fully AI-ready.
• You design and implement robust data integrations using APIs and Model Context Protocols (MCPs).
• You transform prototypes and MVPs into stable, reusable, and scalable production solutions.
• You apply AgentOps practices to monitor performance, optimize costs, and continuously improve systems.
• You advise and support engineering teams in adopting both low-code and pro-code AI tools.