AI Applications Engineer

Job Description Summary

As an AI Applications Engineer within GE HealthCare's Science & Technology Organization, you will design, build, and productionize AI-powered applications that improve healthcare workflows and product experiences.

This hands-on engineering role focuses on developing Generative AI (GenAI) applications, integrating AI capabilities with enterprise and third-party systems, and ensuring reliable, secure, and scalable production deployment. You will collaborate with AI scientists, product teams, and software engineers to bring AI solutions from prototype to production.

Job Description

Roles/Responsibilities

• Design, develop, and deploy GenAI and machine learning applications using large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI workflows.
• Productionize AI/ML solutions, including model serving, inference APIs, deployment pipelines, and integration into existing applications.
• Implement MLOps/LLMOps practices for model versioning, CI/CD, testing, evaluation, monitoring, and lifecycle management.
• Build evaluation frameworks, guardrails, and observability to improve AI application accuracy, reliability, latency, cost, and security.
• Develop and maintain integrations with enterprise systems, third-party platforms, APIs, and external data sources.
• Collaborate with cross-functional teams to translate product requirements and AI prototypes into reliable, production-ready solutions.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 4+ years of software engineering, AI engineering, or machine learning engineering experience.
• Hands-on experience building GenAI applications using LLMs, RAG, embeddings, vector databases, or agentic AI workflows.
• Strong programming experience in Python and experience developing APIs and AI-powered services.
• Demonstrated experience deploying and supporting AI/ML applications in production, including monitoring, evaluation, and operational reliability.
• Experience integrating applications with REST APIs, third-party services, and enterprise data sources.
• Experience with cloud-based AI/ML services and deployment environments (AWS, Azure, or GCP).

Desired Qualifications

• Experience with MLOps/LLMOps tools and practices, including automated deployment, model evaluation, observability, and monitoring.
• Experience with AI orchestration frameworks, agentic AI, function/tool calling, and production RAG architectures.
• Experience implementing AI guardrails, responsible AI practices, and security controls.
• Familiarity with healthcare interoperability standards (FHIR, HL7, DICOM) and healthcare data privacy requirements.
• Experience delivering AI applications in regulated or enterprise environments.

Eligibility Requirements

• GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• This role is based in the state of Wisconsin at the Waukesha facility of GE HealthCare

 

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.