Philips

3 weeks ago

AI/LLM Application Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead end-to-end architecture and governance for a controlled AI Harness platform supporting medical-device R&D quality processes. Enable AI-assisted workflows across requirements, traceability, DHF/evidence, risk, validation, and change-impact analysis, ensuring the system is compliant, auditable, and verifiable. Work with QA/RA, risk, systems engineering, validation, and IT to define AI use SOPs, OQ/PQ strategy, evidence requirements, and controlled change management, using enterprise tools and AI governance controls.

Location: China

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead end-to-end architecture of the AI R&D QMS Harness, including enterprise data access, RAG layers, prompt/model governance, AI workflow services, audit logging, and evidence archiving.
•Define system boundaries, approved data classes, model whitelisting, prompt governance, and human-in-the-loop controls for controlled quality-system use.
•Design and govern core AI agents for requirement quality, traceability, DHF/evidence, DFMEA/risk, compliance review, defect impact, and review/test workflows.
•Translate business and QMS requirements into scalable, secure, validated application architecture across source systems such as ALM, ClearQuest, Windchill, SOP repositories, and DHF repositories.
•Partner with QA/RA, risk, systems engineering, validation, and IT to define AI use SOPs, risk assessments, OQ/PQ strategy, validation evidence, and controlled change management; drive long-term roadmap.

Key Requirements

•8+ years of experience in enterprise software, AI/ML platform engineering, LLM applications, or regulated systems architecture, preferably in medical devices or other regulated industries.
•Strong experience in AI/LLM application architecture, including RAG systems and prompt/model governance, with audit-ready and secure design for quality-system use.
•Hands-on Python experience and modern AI application stacks, plus experience with Azure OpenAI, AWS Bedrock, or similar controlled environments.
•Knowledge of human-in-the-loop workflows, evidence capture, and quality gates for AI-assisted systems.
•Working knowledge of regulated development/quality frameworks such as ISO 13485, IEC 62304, ISO 14971, and FDA 21 CFR Part 820/11.

Experience:8+ yearsMedical devicesHealthcareLife sciencesRegulated industriesAI/ML platforms

Education:Bachelor's in Computer Science, Software Engineering, AI/ML, Biomedical Engineering (or related field)

Skills:Cross-functional communicationLeading design reviewsGovernance and technical leadershipQuality-focused engineering

Tech Stack:PythonRAGPrompt governanceModel governanceAI workflow servicesAudit loggingEvidence archivingALMClearQuestWindchillSOP repositoriesDHF repositoriesRBACVersion controlAzure OpenAIAWS BedrockOrchestration frameworksUR SOQPQ

Company Brief

Philips

Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Philips

3 weeks ago

AI/LLM Application Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: China

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead end-to-end architecture of the AI R&D QMS Harness, including enterprise data access, RAG layers, prompt/model governance, AI workflow services, audit logging, and evidence archiving.
•Define system boundaries, approved data classes, model whitelisting, prompt governance, and human-in-the-loop controls for controlled quality-system use.
•Design and govern core AI agents for requirement quality, traceability, DHF/evidence, DFMEA/risk, compliance review, defect impact, and review/test workflows.
•Translate business and QMS requirements into scalable, secure, validated application architecture across source systems such as ALM, ClearQuest, Windchill, SOP repositories, and DHF repositories.
•Partner with QA/RA, risk, systems engineering, validation, and IT to define AI use SOPs, risk assessments, OQ/PQ strategy, validation evidence, and controlled change management; drive long-term roadmap.

Key Requirements

•8+ years of experience in enterprise software, AI/ML platform engineering, LLM applications, or regulated systems architecture, preferably in medical devices or other regulated industries.
•Strong experience in AI/LLM application architecture, including RAG systems and prompt/model governance, with audit-ready and secure design for quality-system use.
•Hands-on Python experience and modern AI application stacks, plus experience with Azure OpenAI, AWS Bedrock, or similar controlled environments.
•Knowledge of human-in-the-loop workflows, evidence capture, and quality gates for AI-assisted systems.
•Working knowledge of regulated development/quality frameworks such as ISO 13485, IEC 62304, ISO 14971, and FDA 21 CFR Part 820/11.

Experience:8+ yearsMedical devicesHealthcareLife sciencesRegulated industriesAI/ML platforms

Education:Bachelor's in Computer Science, Software Engineering, AI/ML, Biomedical Engineering (or related field)

Skills:Cross-functional communicationLeading design reviewsGovernance and technical leadershipQuality-focused engineering

Company Brief

Philips

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn