Staff AI Application Engineer

About the job

Job highlights Identified by Google from the original job post Qualifications Education: Master’s or PhD degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field Experience: 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) Responsibilities You will play a pivotal role in shaping and executing our AI strategy You’ll collaborate across a unified, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, and GenAI development—to solve complex business challenges and deliver scalable solutions Job Description Summary GE HealthCare is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As the Staff AI Application Engineer, you will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. We are seeking a highly skilled and motivated AI Application Engineer to join our dynamic team. Core 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.

Requirements

• AI Development
• Machine Learning
• Python
• Software Engineering
• GenAI Solutions

Qualifications

• Master’s or PhD degree in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field

Preferred Technologies

• AI Development
• Machine Learning
• Python
• Software Engineering
• GenAI Solutions

About the company

GE HealthCare is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation.