Senior Imaging Ai Architect

Philips

Bangalore, India
Fully remote
Medical imaging ai data pipelines
Scalable and secure data infrastructure
Integration of annotation tools
The Senior Imaging AI Architect leads the design and ownership of end-to-end data pipelines for medical imaging AI and related Gen AI solutions, ensuring scalability, security, and regulatory compliance

Job Summary

  • The Senior Imaging AI Architect leads the design and ownership of end-to-end data pipelines for medical imaging AI and related Gen AI solutions, ensuring scalability, security, and regulatory compliance.
  • This role involves close collaboration with cross-functional teams including data scientists, engineers, medical informaticians, and regulatory teams to deliver safe and effective AI solutions aligned with medical device standards.
  • Philips fosters a collaborative and innovative healthcare environment where employees work onsite at least three days per week and are encouraged to stay current with AI and infrastructure technologies.

Matching Summary

The Senior Imaging AI Architect leads the design and ownership of end-to-end data pipelines for medical imaging AI and related Gen AI solutions, ensuring scalability, security, and regulatory compliance.

Skills & Requirements

Must-have

  • Medical imaging AI data pipelines
  • Scalable and secure data infrastructure
  • Integration of annotation tools
  • Data cataloging and metadata management
  • Version-controlled data and models
  • Collaboration with MLOps and software teams
  • Compliance with healthcare data regulations

Nice-to-have

  • Experience with Gen AI data pipelines
  • Knowledge of medical device industry standards
  • Agentic orchestration solutions experience
  • Agile development methodologies like SAFe
  • Strong system design and problem-solving
  • Effective communication and collaboration
  • Passion for healthcare innovation

Key Requirements

  • Bachelor’s degree in Computer Science or related field
  • 8+ years experience in data and ML pipeline architecture
  • Experience with medical device AI product development
  • Proficiency in AWS, cloud platforms, containerization
  • Strong programming skills in Python, SQL, C++
  • Knowledge of healthcare data regulations
  • Experience leading technology strategy decisions

Work Rights

Not specified

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