{"id":2043921,"url":"https://alion.io/job/ge-healthcare-applied-ai-integrations-engineer","title":"Applied AI & Integrations Engineer","company":{"id":7352,"name":"GE HealthCare","domain":"gehealthcare.com","url":"https://alion.io/company/ge-healthcare","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":40,"ghost_share":0,"stale_share":0.775,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Milwaukee, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":240000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"DICOM","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FHIR","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GraphQL","optional":false},{"name":"Hibernate","optional":false},{"name":"HIPAA","optional":false},{"name":"HL7","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenShift","optional":false},{"name":"Quarkus","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false}],"status":"live","first_seen_at":"2026-10-07T18:56:09Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-27T19:52:09Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Job Description Summary\nAs an Applied AI & Integration Engineer for our Science and Technology Organization, you’ll work across the full stack with a focus on two things: bringing artificial intelligence capabilities into production applications, and connecting our products to the third party platforms, partner applications, and external data sources our customers depend on. You’ll scope and lead complex technical projects, laying the groundwork for early-stage products to iterate and scale, while driving software engineering best practices and delivering high quality software on tight schedules. The work will be part of, but not limited to, the projects that are part of the recently created Wisconsin Tech Hub.At GE HealthCare, we are committed to bringing cloud-based solutions for our customers: all aspects of computing services across the cloud and edge - including servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits\nJob Description\nRoles/Responsibilities\nWork with a cross functional team to create software products under approved architecture and under the roadmap set by the product management team\nTake ownership of features end to end across the stack - user-facing interfaces, APIs, services, and data pipelines - with high emphasis on quality, test-driven development, and sound software engineering practices\nDesign, build, and maintain integrations with third party platforms, partner applications, and external data sources, including authentication, authorization, rate limiting, retries, error handling, and version management\nBuild and maintain the public APIs, SDKs, and connectors that third parties use to extend our products, along with the reference documentation and sample code that go with them\nIntegrate AI and machine learning capabilities into production applications, including model serving endpoints, large language model and retrieval-augmented generation (RAG) workflows, and inference pipelines\nEstablish evaluation harnesses, guardrails, and monitoring for AI features covering accuracy, latency, cost, drift, and safe behavior in production\nPartner with data science and clinical teams to move models from prototype to a supportable, observable production service\nParticipate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team\nUse software engineering best practices to ensure a high standard of quality for all the team deliverables\nMinimum Qualifications\nBachelor’s degree in Computer Science or related discipline\n4+ years of professional software development experience across the stack including front end engineering and modern design principles\n1+ year of experience with building scalable, distributed systems using a modern cloud framework such as AWS, Azure or GCP and containerized deployments (Docker, Kubernetes/OpenShift)\nStrong experience with Java, a modern Java microservice framework (Quarkus, Spring Boot), JPA (e.g. Hibernate) or an equivalent backend stack\nHands-on experience integrating third party or partner APIs (REST, GraphQL, or webhooks), including OAuth 2.0 / OIDC authentication flows\nHands-on experience building applications that call AI/ML services or large language model APIs\nDesired Qualifications\n6+ years of professional software development experience\nMaster’s or PhD degree in Computer Science, Computer Engineering, or related field\nExperience with large language model application patterns: retrieval-augmented generation, embeddings and vector databases, function and tool calling, agentic workflows, and prompt and context management\nExperience with model lifecycle tooling (MLOps) including versioning, deployment, A/B testing, and offline and online evaluation of model quality\nExperience building integrations against healthcare interoperability standards such as FHIR, HL7, and DICOM, including SMART on FHIR authorization\nExperience designing partner-facing API contracts, developer ecosystems, marketplaces, or application stores\nExperience with event-driven architecture, message queues, and idempotent, fault-tolerant integration patterns for unreliable external systems\nFamiliarity with data privacy, PHI handling, and regulatory considerations (e.g. HIPAA, GDPR) as they apply to AI features and third party data flows\nExperience with design/architecting large-scale distributed systems preferably using AWS technologies\nPrevious experience with big data systems, analytics, containerized microservices, and serverless functions\nExperience with supporting production software deployments\nExperience creating, documenting, and communicating software architectures for complex products\nPrevious experience working directly with end customers or partners to assess needs, identify solutions, and constructively resolve disagreements\nExperience in building, tracking, and communicating plans within Agile processes\nExcellent technical problem-solving skills and aptitude to learn new technologies and methodologies\nExperience working in regulated or safety-critical software environments (healthcare, medical devices, pharmaceuticals, or similar)\nEligibility Requirements\nGE 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.\nThis role is based in the state of Wisconsin at the Waukesha facility of GE HealthCare\nWe 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.\nWe will not sponsor individuals for employment visas, now or in the future, for this job opening.\n\nGE 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.\nGE HealthCare will only employ those who are legally authorized to work in the United States for this opening. 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