Senior Staff Engineer, Enterprise AI

GE HEALTHCARE-posted 17 days ago
$136,000 - $204,000/Yr
Full-time • Senior
Remote
5,001-10,000 employees
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GE HealthCare is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. You will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a unified, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, and GenAI development—to solve complex business challenges and deliver scalable solutions.

  • 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.
  • Conduct research and stay updated with the latest advancements in AI technologies.
  • Translate AI research into business solutions.
  • Collaborate with cross-functional teams to integrate AI solutions into various applications and products.
  • Analyze large datasets to extract meaningful insights and improve AI model performance.
  • Design and conduct experiments to validate and optimize AI models.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Collaborate with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring.
  • Proactively measure and communicate value generation from developed AI solutions to business and IT leaders across GE HealthCare.
  • Proactively identify new opportunities to further leverage AI solutions – prioritizing opportunities with the biggest potential benefit to the business.
  • Ensure best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise.
  • Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.
  • Operating as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics in decision-making and value creation.
  • Bachelors degree in Computer Science, Data Science, Engineering or a STEM related field with a focus on neural networks and computer vision. or related with 5+ years of hands-on experience in developing and deploying AI models and applications.
  • Deep expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith.
  • Deep expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning.
  • Experience implementing transformers, self-supervised learning, and generative AI models in reliable, maintainable APIs or microservices.
  • Ability to work with large-scale datasets and perform efficient data analysis.
  • Expertise in transformers, self-supervised learning, and generative AI models.
  • Ability to continuously track, evaluate, adapt the latest advancements in AI technology to business use cases across GE HealthCare.
  • Strong problem-solving skills and the ability to think critically and creatively.
  • Excellent communication skills and the ability to work collaboratively in a team environment.
  • PhD preferred.
  • Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.
  • GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
  • GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.
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