GE HealthCare · 4 weeks ago
Senior Staff AI Engineer, Enterprise AI
United States
Full-time
Remote
Senior Level, Lead/StaffGE HealthCare is accelerating its transformation through strategic AI initiatives in various sectors. As a Senior Staff AI Engineer, you will develop innovative GenAI and Agentic AI solutions that provide actionable insights and transform key operational areas within the company.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
Responsibilities
Leading 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
Conducting research and staying updated with the latest advancements in AI technologies
Translating AI research into business solutions
Collaborating with cross-functional teams to integrate AI solutions into various applications and products
Analyzing large datasets to extract meaningful insights and improve AI model performance
Designing and conducting experiments to validate and optimize AI models
Presenting findings and recommendations to stakeholders in a clear and concise manner
Collaborating with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring
Proactively measuring and communicating value generation from developed AI solutions to business and IT leaders across GE HealthCare
Proactively identifying new opportunities to further leverage AI solutions – prioritizing opportunities with the biggest potential benefit to the business
Ensuring best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise
Driving 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
PhD in Computer Science, Data Science, Engineering or a STEM related field with a focus on neural networks and computer vision
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
Benefits
Relocation Assistance Provided
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.
Founded in 1892
10001+ employees
H1B Sponsorship
GE HealthCare has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2021 (1)
2020 (3)
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
Catherine Estrampes
President and CEO, US & Canada
Luiz Verzegnassi
President & CEO, Services
Recent News
2026-01-06
2026-01-06
Company data provided by crunchbase