GE HealthCare · 21 hours ago
Senior Staff AI Application Engineer, Enterprise AI
United States
Full-time
Remote
Senior Level, Lead/Staff
$139K/yr - $209K/yr
5+ years expGE HealthCare is a leading global medical technology and digital solutions innovator. They are seeking a Senior Staff AI Application Engineer to develop and deliver innovative AI solutions that generate actionable business insights across various sectors within the company. The role involves collaborating with cross-functional teams to design AI applications and optimize their performance.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
No H1B
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
Required
Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field
5+ years of experience architecting, building, and scaling complex AI/GenAI systems in enterprise or regulated environments
Expertise in Python, and full-stack engineering for AI — capable of leading architecture across front end, back end, and model integration
Mastery of LLMs, diffusion models, RAG architectures, and multi-agent (A2A) systems, with demonstrated implementation in production
Hands-on experience designing multi-model orchestration and context management using MCP or equivalent protocols / frameworks
Deep understanding of LLMOps/GenAIOps platforms and pipelines, enabling robust observability, versioning, and continuous learning cycles
Proficiency in cloud architecture design (AWS, Azure), including cost optimization, scaling, and secure data governance
Expertise in software architecture patterns (microservices, event-driven, serverless) and API ecosystems (REST, gRPC)
Proven leadership in AI security, governance, and compliance, ensuring full auditability and traceability
Drives innovation through research translation, proof-of-concept leadership, and collaboration with Data Science, Ops, Product, and Platform teams
Outstanding ability to communicate technical vision to executives and lead strategic AI initiatives across global teams
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.
10001+ employees
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
2026-01-16
Medical Device Network
2026-01-16
2026-01-16
Company data provided by crunchbase