Applied AI – Integrations Engineer

GE HealthCare

. Create software products with cross-functional teams under approved architecture and product roadmaps .

Posted 10/7/2026full-timeWaukesha • Wisconsin • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack software development, including building scalable systems and integrating AI/ML capabilities. Proficient in API development, cloud services, and adhering to software engineering best practices in regulated environments.

Highest-signal resume keywords

Full-Stack Software DevelopmentAPI Development and IntegrationCloud Services (AWS, Azure, GCP)AI/ML Integration and MLOpsAgile Methodologies

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

JavaQuarkusSpring BootJPA/HibernateRESTGraphQLOAuth 2.0/OIDCMLOpsEvent-Driven ArchitectureBig Data Systems

Soft Skills

Technical Problem-SolvingCommunicationCollaboration

Tools & Technologies

DockerKubernetesOpenShiftFHIRHL7DICOMSMART on FHIR

Industry Keywords

Regulatory Compliance (HIPAA, GDPR)Distributed SystemsMicroservicesServerless FunctionsProduction Software Deployments

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDockerGoogle Cloud PlatformGraphQLHibernateJavaKubernetesMicroservicesOpenShiftSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Create software products with cross-functional teams under approved architecture and product roadmaps
Own features end to end across user interfaces, APIs, services, and data pipelines
Design, build, and maintain integrations with third-party platforms, partner applications, and external data sources
Build and maintain public APIs, SDKs, connectors, documentation, and sample code
Integrate AI and machine learning capabilities into production applications, including model-serving endpoints, LLM/RAG workflows, and inference pipelines
Establish evaluation harnesses, guardrails, and monitoring for AI feature accuracy, latency, cost, drift, and safe behavior
Partner with data science and clinical teams to move models from prototype to observable production services
Participate in software design reviews and conduct peer code reviews
Apply software engineering best practices to deliver high-quality software on tight schedules
Support projects associated with the Wisconsin Tech Hub

Requirements

What you’ll need

Bachelor’s degree in Computer Science or related discipline
4+ years of professional software development experience across the stack, including front-end engineering and modern design principles
1+ year of experience building scalable, distributed systems using AWS, Azure, or GCP and containerized deployments such as Docker and Kubernetes/OpenShift
Strong experience with Java, Quarkus or Spring Boot, JPA/Hibernate, or an equivalent backend stack
Hands-on experience integrating third-party or partner APIs using REST, GraphQL, or webhooks
Experience with OAuth 2.0/OIDC authentication flows
Hands-on experience building applications that call AI/ML services or large language model APIs
Legally authorized to work in the United States
No employment visa sponsorship available now or in the future
Master’s or PhD degree in Computer Science, Computer Engineering, or related field preferred
Experience with RAG, embeddings, vector databases, function/tool calling, agentic workflows, and prompt/context management
Experience with MLOps, model versioning, deployment, A/B testing, and model evaluation
Experience with FHIR, HL7, DICOM, and SMART on FHIR authorization
Experience with partner-facing API contracts, developer ecosystems, marketplaces, or application stores
Experience with event-driven architecture, message queues, and fault-tolerant integration patterns
Familiarity with PHI handling, HIPAA, GDPR, and regulatory considerations
Experience with large-scale distributed systems, preferably AWS
Experience with big data systems, analytics, containerized microservices, and serverless functions
Experience supporting production software deployments
Experience documenting and communicating software architectures
Experience working with customers or partners to assess needs and resolve disagreements
Experience building, tracking, and communicating plans within Agile processes
Experience in regulated or safety-critical software environments
Excellent technical problem-solving skills and aptitude to learn new technologies

Benefits

Comp & perks

Professional development
Great work environment
Competitive compensation
Relocation assistance provided
Equal Opportunity Employer
Drug screen as applicable
Potential customer vaccination mandates may apply to certain employees