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

Staff AI Application Engineer, Enterprise AI

positionNew York, United States
timeFull-time
remoteOnsite
senioritySenior Level, Lead/Staff
date3+ years exp

GE HealthCare is accelerating its transformation through strategic AI initiatives aimed at various business sectors. The Staff AI Application Engineer will develop innovative AI solutions, collaborating with cross-functional teams to deliver impactful applications across the organization.

AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design and develop AI-powered applications, integrating machine learning and generative models into enterprise-grade software products and internal tools. Own the full software development lifecycle (SDLC), including unit, integration, and end-to-end testing
Frontend: Develop modern, intuitive interfaces for AI applications (React/Next.js, TypeScript, or equivalent) with a strong focus on usability, accessibility, and AI explainability
Backend: Implement scalable and secure back-end services (FastAPI, Flask, or Node.js) to expose AI capabilities (LLMs, RAG pipelines, AI agents) through standardized APIs
Translate data science prototypes and GenAI models (LLMs, diffusion models, transformers) into scalable applications or services with intuitive user interfaces and reliable back-end infrastructure
Collaborate with insight leaders and business stakeholders on requirements gathering, project documentation, and development planning
Partners with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications within standardized CI/CD pipelines
Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources
Integrate cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph) into enterprise environments
Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact
Optimize application performance, infrastructure efficiency, and LLM utilization
Document architectures, APIs, and deployment processes to ensure transparency, reusability, and maintainability

Qualification

AI application developmentMachine learning integrationCloud-native AI platformsPython programmingTypeScript/JavaScriptReact/Next.jsCI/CD automationDockerKubernetesCollaboration skillsProblem-solving skills

Required

Master's or PhD degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field
3–5 years of hands-on experience developing and deploying AI-powered or data-driven applications in enterprise environments
Advanced proficiency in Python, plus strong working knowledge of TypeScript/JavaScript and at least one modern web framework (React, Next.js, FastAPI, Flask)
Proven track record implementing end-to-end AI systems, integrating ML/LLM models into scalable microservices or enterprise applications
Strong experience in ML/GenAI frameworks (TensorFlow, PyTorch, LangChain, AutoGen, Semantic Kernel) and cloud-native AI platforms (AWS Bedrock, Azure OpenAI)
Working knowledge of cloud environments (AWS, Azure, or GCP) and containerization tools (Docker)
Deep experience with Docker, Kubernetes, and CI/CD automation for AI workloads
Demonstrated experience with RAG pipelines, vector databases, and document retrieval frameworks
Solid understanding of LLMOps / GenAIOps integration patterns, model evaluation, and prompt optimization workflows
Strong collaboration skills and the ability to communicate effectively within cross-functional teams
Ability to mentor junior engineers, perform code reviews, and contribute to architectural decisions
Strong problem-solving, debugging, and analytical skills, with clear and persuasive communication to technical and business audiences

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.
dateFounded in 1892
location
Chicago, Illinois, USA
people-size10001+ employees
web-link
http://www.gehealthcare.com

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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Recent News

Benzinga.com
Consumer Tech News (Jan 5-9): Semiconductors Steal CES 2026 Spotlight, AI Regulation Tightens As Governments Crack Down & More
2026-01-11
GlobeNewswire
$6.5+ Bn Smart Portable Ultrasound Global Markets, 2019-2024, 2025-2029F, 2034F: GE HealthCare, Siemens Healthineers, Philips, Fujifilm, and Hitachi Drive AI-Enabled, Handheld Imaging Innovation
2026-01-09
eeNews Europe
NXP and GE HealthCare bring edge AI into acute care
2026-01-09
Company data provided by crunchbase