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Senior Director, Head of AI Engineering and Application Development

GE HEALTHCARE
4.1 / 5
Bengaluru Not disclosed
Yesterday
On-Site
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About the job

Jobbeschreibung Zusammenfassung Role Overview GE HealthCare’s Chief Data and Analytics team delivers innovative data, insights, and AI solutions for the organization. Our Enterprise AI team works on a diverse portfolio of Machine Learning (ML), AI, and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership ... Core Responsibilities • Develop and deliver innovative GenAI and Agentic AI tools to address key business problems, drive intelligent automation and transform business processes across Commercial, Sales, Marketing, Finance, Supply Chain, Quality, Lean, and Manufacturing. • Create and maintain technology roadmaps to support GenAI and Agentic AI applications. • Provide technical oversight and mentorship to a team of AI engineers and AI application developers. • Partner with business leaders across GE HealthCare to transform key business processes via intelligent automation. • Collaborate with the AIOps team to establish standards for AI model development, deployment, and monitoring. • Lead development of AI-driven solutions including but not limited to: • Designing RAG models, agent workflows, and multi-step reasoning models. • Unstructured data analysis. • Integrating ML/GenAI models and LLM orchestration into end-user AI applications. • Productionizing cloud-based models as GenAI products. • Designing multi-agent orchestration, memory stores, and API end points. • Maintain framework for training, testing and deploying models. • Proactively measure and communicate value generation from developed AI tools to business and IT leaders across GE HealthCare. • Proactively identify new opportunities to further leverage GenAI and Agentic AI solutions – prioritizing opportunities with the biggest potential benefit to the business. • Ensure best practice adoption within the engineering team, applying appropriate levels of technical capability, standardization, and subject matter expertise. • Proactively manage planned and ad-hoc engineering requests, ensuring appropriate prioritization, consistent quality, and timeliness in delivery to business stakeholders. • Drive a culture of analytics and fact-based decision-making through the utilization of standard methodologies and approaches. • Operate as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of GenAI and Agentic AI in business process transformation and value creation. • Act as a change agent who effectively communicates the vision and implementation roadmap for new AI capabilities and who gains buy-in from stakeholders across the organization. • Build and nurture a team of high-performing AI engineers and AI application developers. Develop a team culture and environment where engineers thrive, overseeing the development of competency models, career paths, and onboarding and training programs. • Collaborate across IT and STO functions to ensure that technology enables ML, AI, GenAI, and advanced analytics capabilities and that data and algorithms are reliable and accurate. • Serve as a key member of working groups developing digital platforms, as well as ensuring that data from these platforms can be appropriately utilized for insight generation. • Stay abreast of market evolutions and dynamics regarding GE HealthCare’s position in industry and therapeutic areas.

Requirements

  • AI tools
  • Data analytics
  • Machine Learning
  • Agile practices
  • Cloud-based solutions

Qualifications

  • 10+ years of experience
  • Healthcare data experience

Preferred Technologies

  • AI tools
  • Data analytics
  • Machine Learning
  • Agile practices
  • Cloud-based solutions

Benefits

  • Relocation assistance

About the company

GE HealthCare’s Chief Data and Analytics team delivers innovative data, insights, and AI solutions for the organization. The Enterprise AI team works on a diverse portfolio of ML, AI, and GenAI projects with industry-leading methods and tools.

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