Software Engineering Unit Manager

Capgemini; Maharashtra; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Capgemini in India seeks a Technical Lead for AI-enabled medical devices engineering to guide technical execution, solution design, AI adoption, and engineering transformation across Medical Devices and Life Sciences programs.

You will collaborate with delivery teams, AI specialists, quality and regulatory SMEs, and clients to deliver scalable, compliant solutions and drive engineering excellence through architecture reviews and risk assessments.

Qualifications

• 12–18+ years in Engineering Services, Product Engineering, Medical Devices, Life Sciences, or related leadership roles.
• Degree in Engineering, Computer Science, Biomedical Engineering, Technology, or related discipline.
• Experience with AI-enabled engineering approaches including GenAI, LLMs, RAG, AI Agents, and AI-assisted development.
• Strong governance, risk assessment, and delivery readiness planning.
• Deep knowledge of medical device product lifecycle management, including requirements, design, verification, validation, release, maintenance, and post-market support.

Responsibilities

• Lead technical solutioning and delivery support for Medical Devices, Digital Health, Product Engineering, Software Engineering, Quality Engineering, V&V, and Sustaining Engineering initiatives.
• Develop AI-enabled productivity solutions leveraging LLMs, RAG, AI agents, workflow automation, engineering analytics, and AI-assisted SDLC approaches.
• Collaborate with AI CoEs and delivery teams to build demos, POCs, accelerators, and transformation roadmaps.
• Support Medical Device product lifecycle activities spanning concept, development, verification, validation, release, maintenance, sustenance, and post-market quality.
• Drive delivery readiness through architecture reviews, risk assessments, implementation planning, issue analysis, and technical governance.

Skills

Technical leadership

Solution design

AI/GenAI expertise

Architecture reviews

Delivery leadership

POCs/Prototyping

Education

Bachelor’s or Master’s degree in Engineering/CS/Biomedical

Job description

Technical Lead – AI-Enabled Medical Devices Engineering

As a Technical Lead – AI-Enabled Medical Devices Engineering, you will be responsible for leading technical execution, solution design, AI adoption, and engineering transformation initiatives for Medical Devices and Life Sciences clients. You will work closely with delivery teams, solution architects, AI specialists, quality and regulatory SMEs, and client stakeholders to deliver scalable, compliant, and productivity-driven engineering solutions.

Responsibilities

• Lead technical solutioning and delivery support for Medical Devices, Digital Health, Product Engineering, Software Engineering, Quality Engineering, V&V, and Sustaining Engineering initiatives
• Develop AI-enabled productivity solutions leveraging LLMs, RAG, AI agents, workflow automation, engineering analytics, and AI-assisted SDLC approaches
• Collaborate with AI CoEs and delivery teams to build demos, POCs, accelerators, and transformation roadmaps
• Support Medical Device product lifecycle activities spanning concept, development, verification, validation, release, maintenance, sustenance, and post-market quality
• Drive delivery readiness through architecture reviews, risk assessments, implementation planning, issue analysis, and technical governance

Qualifications

• 12–18+ years of experience in Engineering Services, Product Engineering, Medical Devices, Life Sciences, Software Development, Quality Engineering, or Technical Leadership roles
• Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, Technology, or a related discipline
• Strong experience in architecture reviews, solution design, technical governance, engineering transformation, and delivery leadership
• Hands‑on expertise in POCs, prototype development, framework design, estimation, technical risk assessment, and delivery readiness planning
• Experience with AI‑enabled engineering approaches including GenAI use cases, LLMs, RAG, AI Agents, AI‑assisted development, testing, documentation, defect analytics, and prompt engineering
• Strong understanding of software engineering, test automation, quality engineering, V&V, digital engineering, and product development practices
• Deep knowledge of Medical Device product lifecycle management, including requirements, design, verification, validation, release, maintenance, and post‑market support

What You’ll Love About Working Here

• Opportunity to lead cutting‑edge AI‑enabled engineering transformation initiatives within Medical Devices and Life Sciences
• Exposure to emerging technologies including GenAI, Digital Health, Test Automation, Engineering Analytics, and Connected Products
• Access to continuous learning opportunities and certifications in cloud, AI, and engineering technologies