Senior AI Application Engineer, Enterprise AI jobs in United States
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GE HealthCare · 2 weeks ago

Senior AI Application Engineer, Enterprise AI

positionNew York, United States
timeFull-time
remoteOnsite
seniorityMid, Senior Level
date1+ years exp

GE HealthCare is accelerating its transformation through strategic AI initiatives, focusing on delivering enterprise-grade AI and ML solutions. As a Senior AI Application Engineer, you will develop innovative GenAI and Agentic AI solutions, collaborating with cross-functional teams to address complex business challenges and enhance operational efficiency.

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 frameworksCloud environmentsPythonRESTful APIsFrontend developmentCollaboration skillsProblem-solving skillsMentoringCommunication skills

Required

Master's degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field
1–3 years of hands-on experience developing and deploying AI-powered or data-driven applications in production environments
Strong proficiency in Python, with working knowledge of TypeScript/JavaScript for front-end or back-end integrations
Practical experience with ML and GenAI frameworks such as TensorFlow, PyTorch, or Hugging Face
Basic familiarity with LangChain, OpenAI API, or similar LLM toolkits
Experience developing RESTful APIs for AI or analytics services
Working knowledge of cloud environments (AWS, Azure, or GCP) and containerization tools (Docker)
Exposure to RAG concepts, embeddings, or vector databases (e.g., Pinecone, FAISS)
Understanding of fundamental software engineering practices — CI/CD, testing, version control (Git), code reviews, and agile methodologies
Strong collaboration skills and the ability to communicate effectively within cross-functional teams
Basic understanding of prompt engineering and model evaluation techniques
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

Benefits

Relocation Assistance Provided: Yes

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