Senior Director - Software Engineering

GE Healthcare GE Healthcare · Healthcare · Bengaluru, Karnātaka, India · Digital Technology / IT

Senior Director of Software Engineering at GE Healthcare, responsible for leading teams to deliver quality software products, including driving the adoption and implementation of AI, Generative AI, and Machine Learning technologies across products, engineering processes, and business operations. The role involves managing teams, defining strategy, and ensuring compliance and responsible AI practices.

What you'd actually do

  1. Drive the adoption of Artificial Intelligence (AI), Generative AI, and Machine Learning technologies across products, engineering processes, and business operations to enhance innovation, productivity, and customer outcomes.
  2. Lead the development and implementation of AI-powered solutions, including Large Language Models (LLMs), intelligent automation, and advanced analytics, while ensuring responsible AI, security, and regulatory compliance.​
  3. Build a world class software development team to consistently deliver complex software platforms and research projects of varying size and duration.
  4. Design and execute on a well thought out strategy for the organization
  5. Manage a team responsible for UX, front end and back end development using the latest technologies and methodologies adopted from industry wide practices.

Skills

Required

  • Management
  • software development methodologies
  • best practices
  • Agile
  • Lean
  • AI governance
  • responsible AI practices
  • data management
  • Large Language Models (LLMs)
  • prompt engineering
  • cloud AI platforms
  • Azure AI Services
  • Azure OpenAI
  • Linux
  • Unix
  • Java web development

Nice to have

  • UX
  • front end development
  • back end development
  • research projects
  • Linux or Unix operating systems
  • software development tools & infrastructure
  • XP practices

What the JD emphasized

  • Demonstrated experience leading AI, Machine Learning, Generative AI, or intelligent automation initiatives, with knowledge of AI/ML frameworks, Large Language Models (LLMs), prompt engineering, and cloud AI platforms such as Azure AI Services or Azure OpenAI.
  • Strong understanding of AI governance, responsible AI practices, data management, and the application of AI technologies to improve software engineering efficiency, product innovation, and business outcomes.

Other signals

  • Drive the adoption of Artificial Intelligence (AI), Generative AI, and Machine Learning technologies across products, engineering processes, and business operations
  • Lead the development and implementation of AI-powered solutions, including Large Language Models (LLMs), intelligent automation, and advanced analytics
  • Demonstrated experience leading AI, Machine Learning, Generative AI, or intelligent automation initiatives