GE HealthCare · 2 weeks ago
Senior Staff Engineer, Enterprise AI
GE HealthCare is a leading global medical technology and digital solutions innovator. The role involves developing and delivering innovative GenAI and Agentic AI solutions to generate actionable business insights and transform key areas within GE HealthCare, collaborating with cross-functional teams to solve complex business challenges.
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Responsibilities
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
Qualification
Required
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
Preferred
PhD preferred
Benefits
Medical
Dental
Vision
Paid time off
A 401(k) plan with employee and company contribution opportunities
Life
Disability
Accident insurance
Tuition reimbursement
Company
GE HealthCare
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
Recent News
eeNews Europe
2026-01-09
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