Job Description
Job title:
The Senior Imaging AI Architect oversees an end-to-end data pipeline infrastructure for primarily medical imaging AI (but also Gen AI solutions and more), from data ingestion and storage through curation, feature extraction, and model training.
Your role:
- Architect and own the end-to-end data pipelineu00A0for medical imaging AI data (including related patient record data), from intake and storage through curation, feature engineering, and model training. Ensure the pipeline is scalable, secure, and optimized for large imaging datasetsu00A0while maintaining compliance with healthcare data regulations. Additionally, architect end-to-end data pipelines for other data related to Gen AI solutions as needed.
Develop and implement data cataloging and metadata management infrastructureu00A0in partnership with the data manager and stewards. Ensure all data assets and models are version-controlled, easily discoverable, and traceable throughout their lifecycle to support reproducibility, auditability, and regulatory compliance.
Collaborate closely with MLOps engineers and product software teamsu00A0to hand off models from R&D into production. Define clear interfaces so that once models are trained and validated in our pipeline, they can be containerized and reliably transferred into medical device software,u00A0meeting quality and safety standardsu00A0for clinical use.
Work on a cross-functional teamu00A0of data scientists, data engineers, data ops and ML platform engineers and medical informaticians, with the software organization (including their architects & principal architect), and global Philips colleagues in a fast-paced healthcare innovation environment.u00A0u00A0to ensure our AI solutions are safe, effective, and aligned with medical device industry standards.
Constantly stay up to date on the latest infrastructure & AI technology that can better support production AI development and other real-world data engineering work propose and execute on proof of concepts that lead to adoption over time.
You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this .
You're the right fit if: (4 x bullets max)
- Architect and own the end-to-end data pipelineu00A0for medical imaging AI data (including related patient record data), from intake and storage through curation, feature engineering, and model training. Ensure the pipeline is scalable, secure, and optimized for large imaging datasetsu00A0while maintaining compliance with healthcare data regulations. Additionally, architect end-to-end data pipelines for other data related to Gen AI solutions as needed.
Develop and implement data cataloging and metadata management infrastructureu00A0in partnership with the data manager and stewards. Ensure all data assets and models are version-controlled, easily discoverable, and traceable throughout their lifecycle to support reproducibility, auditability, and regulatory compliance.
Collaborate closely with MLOps engineers and product software teamsu00A0to hand off models from R&D into production. Define clear interfaces so that once models are trained and validated in our pipeline, they can be containerized and reliably transferred into medical device software,u00A0meeting quality and safety standardsu00A0for clinical use.
Work on a cross-functional teamu00A0of data scientists, data engineers, data ops and ML platform engineers and medical informaticians, with the software organization (including their architects & principal architect), and global Philips colleagues in a fast-paced healthcare innovation environment.u00A0u00A0to ensure our AI solutions are safe, effective, and aligned with medical device industry standards.
Constantly stay up to date on the latest infrastructure & AI technology that can better support production AI development and other real-world data engineering work propose and execute on proof of concepts that lead to adoption over time.
You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this .
You're the right fit if:
- You have a Bacheloru2019s degreeu00A0in Computer Science, Biomedical Engineering, Electrical Engineering, Mathematics or a related field.u00A0u00A0Plus,u00A08+ years of experienceu00A0(or 5+ with a Masteru2019s, 3+ with PhD)u00A0architecting large-scale data and machine learning pipelines (more weight given to recent experience and evidence of exceptional ability), ideally with a focus on imaging data in medical devices, healthcare, or another highly regulated industry.
- Demonstrated success in bringing medical devices with AI features to market using infrastructure you built and knowledge of international medical device regulations.
Proven experience in technology strategy:u00A0you have evaluatedu00A0cloud vs. on-premisesu00A0architectures andu00A0build vs. buyu00A0options to meet both short-term project requirements and long-term scalability. You can point to decisions youu2019ve led in adopting the right tools and platforms for AI workflows.
Strong technical toolkit:u00A0proficiency in distributed data processing and pipeline tools, and hands-on skills in modern AI/ML infrastructure.u00A0u00A0You are also comfortable with database systems and big data tools relevant to managing image datasets as well as relational and knowledge graphs. Bonus: You are up to date on, and have built agentic orchestration solutions particularly in a production environment.
Familiarity with agile development methodologies like SAFe
Excellent system design and problem-solving skills.u00A0You can architect robust, scalable systems from the ground up and troubleshoot complex data flow issues. You apply au00A0security-first mindset.
Effective communicator and collaborator:u00A0able to clearlyu00A0explain complex architecture decisionsu00A0to both technical teams and non-technical stakeholders. You work well in cross-functional teams and can lead through influence. Au00A0strong data privacy and quality mindsetu00A0is in your DNA.
Passion for innovation in healthcare:u00A0you stay updated on AI trends and are excited to apply them to improve patient outcomes.
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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.
Onsite roles require full-time presence in the companyu2019s facilities.
Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations.
Indicate if this role is an office/field/onsite role.
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.
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If youu2019re 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 .
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