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NaukriPosted on 2026-05-28
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Sr. Software Design Quality Engineer AI

Philips

BangaloreFull time14-20 yearsNot disclosed

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22+Important JD
Keywords
air&dkpisclouddevopsISO 14971ISO 13485IEC 62304 + 14 more

Job Description

You are responsible for

Design Quality Engineering Expertise

  • Lead Design Quality Engineering activities for assigned projects across the full software product lifecyclefrom concept to commercialization.
  • Drive compliance with design control processes (e.g., ISO 13485, IEC 62304, ISO 14971, IEE1633, and AI regulation frameworks such as EU AI Act-ready practices).
  • Act as key partner for defining and maintaining quality strategies, KPIs for complex, multi component systems integrating software, cloud, data, and AI/ML in compliance with applicable regulations and standards.
  • Software & AI Quality Assurance
  • Oversee quality planning, documentation, and reviews for software and AI-enabled solutions (foundation models, prompt engineering).
  • Design quality assurance for deep neural networks”, as well as “Governance of training pipelines” (for reproducibility).
  • Ensure robust validation strategies for artificial intelligence models, including dataset quality, model performance, bias detection, and continuous learning.
  • Partner with R&D teams to ensure transparency, explainability, and traceability in AI model development.
  • Risk Management & Compliance
  • Oversee risk management activities per ISO 14971, including hazard analyses, FMEAs, fault tree analyses, cybersecurity risk assessments, and AI-specific risks.
  • Evaluate design robustness and reliability using data-driven methods and statistical techniques.
  • Technical Reviews & Design Assurance
  • Collaborate with R&D team and conduct expert-level design reviews on architecture, algorithms, code, test strategy, and verification/validation evidence.
  • Identify gaps early in the design and drive cross-functional remediation.
  • Serve as a quality SME during regulatory submissions and audits.
  • Process Excellence & Continuous Improvement
  • Mentor teams in quality engineering best practices.
  • Support in developing advanced processes for AI product lifecycle, dataset governance, software traceability, DevOps, and continuous quality monitoring.
  • Champion culture of “Quality by Design” across R&D.

About The Company

Philips

Over the past decade we have transformed into a focused leader in health technology. At Philips, our purpose is to improve people’s health and well-being through meaningful innovation. We aim to improve 2.5 billion lives per year by 2030, including 400 million in underserved communities. We see healthcare as a connected whole. Helping people to live healthily and prevent disease. Giving clinicians the tools they need to make a precision diagnosis and deliver personalized treatment. Aiding the patient's recovery at home in the community. All supported by a seamless flow of data. As a technology company, we – and our brand licensees – innovate for people with one consistent belief: there’s always a way to make life better. Visit our website: http://www.philips.com/ Follow our social media house rules https://www.philips.com/a-w/about-philips/social-media.html

Company Size10000+
HeadquartersAmsterdam, Noord-Holland
IndustryHospitals and Health Care
TypePublic Company
SpecialitiesHealthcare, Medical Devices, Health systems, Cardiology, Healthtech, Oncology, Respiratory, Fertility, pregnancy, and Connected Care

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