Staff AI Engineer, Enterprise AI jobs in United States
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GE HealthCare · 1 month ago

Staff AI Engineer, Enterprise AI

GE HealthCare is accelerating its transformation through strategic AI initiatives. As a Staff AI Engineer, you will develop and deliver innovative AI solutions to transform key areas within the company, collaborating with cross-functional teams to solve complex business challenges.

AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
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H1B Sponsor Likelynote

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
Conduct research and stay updated with the latest advancements in AI technologies
Translate AI research into business solutions
Project Execution: Leading and contributing to AI engineering projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities
Cross-Functional Collaboration: working closely with colleagues in data engineering, ML engineering, data science, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success
Technical Excellence: applying best practices in data preparation, feature engineering, model selection, validation, and deployment. Participate in code reviews and contribute to technical documentation
Continuous Improvement: staying current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processes
Business Impact: translating complex AI engineering concepts into actionable insights for business partners, supporting decision-making and measurable outcomes
Mentorship & Learning: sharing knowledge with peers, contribute to team learning, and seek opportunities for professional growth

Qualification

AI/ML experienceGenAI model developmentComputer VisionDeep LearningMCPAWS BedrockAzure AI FoundryTransformersSelf-Supervised LearningLLM fine tuningEthics & IntegrityCommunication SkillsInterpersonal Skills

Required

Bachelor's, Master's or PhD degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, or related field with direct AI/ML experience in industry with demonstrated success building and deploying enterprise-grade solutions at scale
Proven ability to apply AI to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization
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
Expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning
Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance
Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives
Proven success working in cross-functional, hybrid, and virtual teams
Commitment to ethical data science practices
Willingness to travel for business meetings as needed

Benefits

Relocation Assistance Provided

Company

GE HealthCare

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GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.

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 Company
Total Funding
$5.52B
Key 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

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Catherine Estrampes
President and CEO, US & Canada
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Luiz Verzegnassi
President & CEO, Services
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Company data provided by crunchbase