Jobs / United States / Philips North America LLC
AI Clinical Solutions Engineer, Azurion Eye (Nashville, TN)
Philips North America LLC · 🇺🇸 Nashville, Tennessee, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 25 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Philips North America LLC paid sponsored hires in similar roles5 certified filings for “Software Development Engineer” (Software Developers) in MA: $131k–$131k, median $131k. Most were filed at wage level II (80%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Philips North America LLC
The US Department of Labor certified 25 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Philips North America LLC →
About the role
Job Title AI Clinical Solutions Engineer, Azurion Eye (Nashville, TN) Job Description As an AI Clinical Solutions Engineer within the Azurion Eye program, you connect clinical practice with AI-driven imaging innovation. In this hospital-based project opportunity, you will partner directly with clinicians, product teams, and AI engineers to identify high-value opportunities, validate solutions in real-world settings, and translate clinical insights into product improvements that enhance workflows, decision-making, and patient care. What is the Azurion Eye program? It advances Philips’ strategy to embed AI into clinical workflows by combining clinical intelligence, computer vision, predictive analytics, and AI-powered orchestration. The platform helps clinicians make faster, better-informed decisions, improve procedural efficiency through intuitive tableside control, and enhance patient safety with precision imaging and reduced radiation exposure, including in-room 3D CT-like imaging for stroke care. Embedded within a strategic US clinical partner hospital, you will help accelerate Philips’ AI-powered Cath Lab platform. Working alongside interventional cardiologists, radiologists, and hospital stakeholders, you will identify clinical needs, validate AI workflows, gather real-world evidence, and serve as the R&D organization’s “eyes and ears” in a leading catheterization laboratory. Travel will be required for work on-site at the partner hospital(s) for the duration of engagements. Your role: • Identify clinical challenges and translate them into AI-enabled product opportunities and requirements, while you deploy and evaluate AI capabilities in clinical environments, gathering structured feedback on usability, performance, and workflow fit. Also, 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. In addition, build strong partnerships with physicians and hospital stakeholders to drive co-creation and adoption of AI solutions, as you support clinical evaluations, evidence generation, and AI performance validation activities. • Support prototype deployments, software validation, and integration into hospital IT environments. In addition, you will represent customer needs across multidisciplinary teams including AI, Clinical Science, Engineering, UX, Quality, and Regulatory Affairs. You are the right fit if: • You’ve acquired 7+ years’ experience developing software-based healthcare or medical technology solutions in combination with a Master’s degree or PhD. • Your skills include experience with AI-enabled healthcare products and direct clinician collaboration; knowledge of image-guided therapy, interventional cardiology, or related clinical domains; experience developing regulated products under FDA Design Controls in SaMD/SaNMD environments; as well as the ability to translate clinical observations into product requirements and engineering priorities. • You have a Master's Degree or PhD in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent. • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position . • You’re an excellent communicator who works effectively across matrixed organizations, comfortable partnering closely with key stakeholders, product teams and AI Engineers. Travel will be required for work on-site at the partner hospital(s) for the duration of engagements. How we work together We believe that we are better together than apart. For our offi