Applied AI & Integrations Engineer

GE HealthCare; Milwaukee (WI); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE HealthCare is seeking an AI Applications Engineer within the Science & Technology Organization to design, build, and productionize AI-powered applications that improve healthcare workflows and product experiences.

You will collaborate with AI scientists, product teams, and software engineers to bring GenAI solutions from prototype to production, focusing on reliability, security, and scalable deployment in enterprise environments.

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).

Responsibilities

• Design, develop, and deploy GenAI and machine learning applications using 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.

Skills

GenAI development

Python

API development

MLOps/LLMOps

LLM/RAG/agentic AI workflows

REST APIs

Cloud services (AWS/Azure/GCP)

Team collaboration

Education

Bachelor's degree in Computer Science

Tools

REST APIs

Vector databases

MLflow / Kubeflow

Docker

Job description

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.

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.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

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.

Relocation Assistance Provided: Yes