Job Title
Solution Architect
Job Description
AI Solutions Architect - HYBRID (Locations: Bothel WA, or San Diego CA, or Plymouth MN, or Cambridge, MA)
Philips IGT-D business is the world-leader in intravascular imaging (IVI) products, primarily through its line of Intravascular Ultrasound (IVUS) catheters and Flow Measurement (FM) guidewires. Artificial Intelligence applied to this data represents a significant opportunity for business, and more importantly for the physicians and patients that benefit from IVI. The person filling this role will be a principal contributor to the data services organization responsible for the data curation chain for these products.
The ideal candidate for this role has a strong understanding of the tools and best practices in the curation of images for AI. This person is expected to be a hands-on, learn-by-doing subject matter expert. They must also be an innovative problem-solver, bringing new thinking and new solutions to our team. This person will work closely with other data solution architect(s) in the team and help provide direction to full stack developer(s) supporting our group.

Your role:

• Identify, document, and evaluate requirements for image analysis, as well as other data types as assigned.
• Evaluate, diagnosis, and recommend improvements (or replacements) for existing data pipelines; this could include changes to tools, processes, and personnel.
• Continuously scout and evaluate available and emerging tools for image analysis and computer vision, including generative AI, auto-annotation, synthetic data generation, and tools we haven’t even thought about yet.
• Ensure that data, environments, and tools power up our R&D work, and cycle feedback from R&D into the stack.
• Becomes our team’s expert in the proprietary signals and processing from our coolest products, especially for the toolchain translating these data into algorithms.

You’re the right fit if:

• Bachelor’s degree in a relevant technical discipline plus at least 3 years of experience (e.g., Engineering, Computer Science, Data Science), or equivalent work experience of 5+ years in a related field.
• 2+ years of experience with MLOps for AI of images, including tool selection, pipeline development, and quality controls.
• Must have experience with full stack development in public cloud environments (AWS, Azure), including proficiency with Python, SQL dialects, and XXX.
• Prior experience and/or graduate coursework with computer vision algorithm development.
• Extensive R&D background in medical imaging, including image annotation and pipeline utilization.
• Proficient in managing data governance processes, including access management, data provenance, and experience with MLOps solutions like Dataiku, DataRobot, etc. Also, skilled in engineering within highly regulated environments (e.g., medical devices, transportation, defense).
• Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to at least one of these locations: Bothel WA, or San Diego CA, or Plymouth MN, or Cambridge, M.
• US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this

position
.
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 improve the lives of others.

• Learn more about

our business

.

• Discover

our rich and exciting history.

• Learn more about

our purpose.

• Read more about

our employee benefits
.
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 commitment to diversity and inclusion
here
.
Philips Transparency Details
The pay range for this position is $159,600 to $273,600, annually. The actual base pay offered may vary depending on multiple factors including, job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
Note: At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found
here
.

LI-PH1

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer/Disabled/Veteran and maintains a drug-free workplace.

Your role:

• Identify, document, and evaluate requirements for image analysis, as well as other data types as assigned.
• Evaluate, diagnosis, and recommend improvements (or replacements) for existing data pipelines; this could include changes to tools, processes, and personnel.
• Continuously scout and evaluate available and emerging tools for image analysis and computer vision, including generative AI, auto-annotation, synthetic data generation, and tools we haven’t even thought about yet.
• Ensure that data, environments, and tools power up our R&D work, and cycle feedback from R&D into the stack.
• Becomes our team’s expert in the proprietary signals and processing from our coolest products, especially for the toolchain translating these data into algorithms