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# AI Clinical Solutions Engineer

- **Company:** Philips North America
- **Location:** United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $223,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Performance Tuning, Software Engineering, Verification and Validation (Software), Information Technology
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/0638e7e8-ac86-4d75-b52f-efbbfea5f384

## About the Role

* A Master's or PhD in Biomedical Engineering, Artificial Intelligence, Computer Science, Data Science, Systems Engineering, or a related field.
 * 7+ years of experience developing software-based healthcare or medical technology solutions.
 * Experience with AI-enabled healthcare products and working directly with clinicians.
 * Understanding of image-guided therapy, interventional cardiology, or related clinical domains.
 * Experience with regulated product development, including FDA Design Controls and SaMD/SaNMD environments.
 * Strong ability to translate clinical observations into product requirements and engineering priorities.
 * Excellent stakeholder management and communication skills.

## Description

As an AI Clinical Solutions Engineer within the Azurion Eye program, you bridge the gap between clinical practice and AI innovation. Working closely with physicians, clinical staff, product teams, and AI engineers, you identify opportunities where AI can improve workflows, accelerate decision-making, and enhance patient care. You validate AI solutions in real-world clinical environments and ensure new capabilities deliver measurable clinical value.

Your role:

 * Identify clinical challenges and translate them into AI-enabled product opportunities and requirements.
 * Deploy and evaluate AI capabilities in clinical environments, gathering structured feedback on usability, performance, and workflow fit.
 * Validate AI outputs, identify edge cases and failure modes, and support continuous model improvement.
 * Work closely with Product Management and R&D teams to accelerate learning cycles and prioritize product enhancements.
 * Support clinical evaluations, evidence generation, and AI performance validation activities.
 * Build strong partnerships with physicians and hospital stakeholders to drive co-creation and adoption of AI solutions.
 * Support prototype deployments, software validation, and integration into hospital IT environments.
 * Represent customer needs across multidisciplinary teams including AI, Clinical Science, Engineering, UX, Quality, and Regulatory Affairs.


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