Role overview
- Own and design AI platform subsystems (AI Operator and/or AI Orchestrator)
- Drive technical decisions for scalability and robustness
- Mentor engineers and support technical best practices
- Contribute to platform architecture and AI roadmap decision
- Develop real-time AI inference and GPU-accelerated model execution
- Integrate and optimize AI models using Python, TensorFlow, PyTorch, TensorRT, and CUDA
- Build workflow orchestration and data management services in Golang
- Deploy AI components on Linux-based, containerized platforms
- Ensure platform performance, reliability, and regulatory compliance You will work within a multidisciplinary team of AI scientists, software architects, system engineers, and clinical experts. Together, you will translate research-grade AI into scalable, compliant software integrated into Philips’ interventional imaging systems. Your work contributes to the evolution of the Azurion AI platform and broader ecosystem.
What we're looking for
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.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't 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 you’re 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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Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Pytorch Tensorflow