Director, Software Engineering & AI

Medtronic · Nanakramguda, Hyderabad, India

Nanakramguda, Hyderabad, IndiaSeniorPosted 30+ days agoLast checked 21 Oct 2026

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About the role

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Director – Software & AI is a strategic leadership role responsible for driving software engineering excellence and accelerating AI adoption across the R&D Software & Systems organization. This role sits at the intersection of software engineering, AI/ML, data science, and scalable product development, acting as a force multiplier for global operating units. The leader will define and execute the Software & AI roadmap, establish world-class engineering practices, and build a high-performance organization that delivers scalable, high-quality, and compliant software solutions aligned to global standards.Key Responsibilities 1. Strategy & Transformation In partnership with MEIC R&D leader, formulate and drive the Software Excellence & AI strategy and roadmap aligned with enterprise and OU priorities Lead digital transformation initiatives including automation, AI adoption, and engineering productivity improvements Translate enterprise AI vision into MEIC AI execution frameworks and scalable AI-enabled delivery models Establish software excellence frameworks across SDLC, quality, metrics, and governance 2. Engineering Excellence Drive best-in-class practices in:Software Development Lifecycle (SDLC) Agile / SAFe methodologies DevSecOps, CI/CD, and test automation Software quality, metrics, and reliability Ensure delivery of scalable, secure, and high-quality software systems Define and implement engineering metrics dashboards and continuous improvement programs 3. AI/ML & Digital Innovation Partner with global & local partners to embed AI into products, processes, and operations Drive AI/ML, development, and deployment across products and platforms. Drive Fast scalable AI tools within MDT compliance and allowed LLMs Drive adoption of data science, advanced analytics, and AI-enabled solutions Oversee end-to-end AI lifecycle (data engineering, modeling, deployment, monitoring) AI upskilling, Metrics measurement, traceability and reporting along with MEIC cross functional teams 4. Stakeholder Collaboration Stakeholder Collaboration in partnership with ER&D Leaders at MEIC : Drive AI enabled Digital Engg , SW Engg productivity and automated digital traceability 5. Organization & Talent Leadership Build and scale a high-performing Software & AI organization Lead hiring (including Sr. Principal / Distinguished Engineers) and capability development Drive talent strategy, coaching, and leadership development

Skills mentioned

  • CI/CD
  • Machine learning
  • LLMs

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