Artificial Intelligence Engineer

AI – Azurion Eye (Image-Guided Therapy, Healthcare AI)

Role Overview

We are looking for a seasoned AI Engineer to support the development and industrialization of AI capabilities within Philips Azurion Eye, a next-generation solution in Image-Guided Therapy (IGT).

The role focuses on transforming AI prototypes into clinically compliant, production-grade solutions that enhance workflow automation, clinical decision support, and imaging intelligence within interventional environments.

Key Responsibilities

AI Productization for Azurion Eye

• Lead the transition of existing AI prototypes (Python-based) into scalable, production-ready solutions integrated with Azurion platforms.
• Drive industrialization of AI models for deployment in clinical settings.
• Ensure robustness, scalability, and maintainability of AI solutions within the Azurion ecosystem.

Advanced AI/ML & Imaging

• Develop and optimize machine learning and deep learning models for medical imaging and interventional workflows.
• Improve algorithm accuracy, reliability, and real-time performance.
• Implement GPU-based inferencing for low-latency clinical use cases.
• Optimize models using NVIDIA stack (CUDA, TensorRT, etc.).

Workflow Automation & Clinical Integration

• Design intelligent automation workflows for interventional radiology/cardiology procedures.
• Integrate AI models seamlessly into clinical workflows within Azurion.
• Work closely with product and clinical teams to ensure usability and impact.

Customer Collaboration

• Participate in customer interviews and technical discussions.
• Customize and refine AI solutions based on hospital/clinical feedback.
• Support demonstrations, pilots, and deployment discussions.

Regulatory & Quality Compliance

• Ensure compliance with FDA and EU MDR regulations for AI-enabled medical devices.
• Support documentation, validation, and audit readiness for regulated environments.
• Collaborate with quality and regulatory teams to meet clinical safety standards.

Required Qualifications

• 15+ years of experience in software engineering / AI / advanced analytics.
• Minimum 3–5 years of hands-on AI/ML experience.
• Strong expertise in Python and ML frameworks (PyTorch/TensorFlow).
• Proven experience in AI productization / deployment in enterprise environments.
• Experience with GPU-based computing and optimization.
• Solid understanding of test automation and validation practices.

Preferred Qualifications

• Experience in Healthcare, MedTech, or Image-Guided Therapy (IGT).
• Familiarity with Philips Azurion platform or similar interventional systems.
• Experience with medical imaging (DICOM, PACS, real-time imaging systems).
• Knowledge of NVIDIA AI ecosystem and model optimization tools.

Prior exposure to clinical workflow automation and decision support systems.