Senior Staff AI Application Engineer, Enterprise AI

8 hours ago

Apply Now

Receive Emails with Similar Jobs

GE HealthCare

WebsiteLinkedInAll Job Openings

Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

10,000+ employees

Founded 1892

💊 Pharmaceuticals

📋 Description

• 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 • Partner with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications within standardized CI/CD pipelines • Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources • Integrate cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph) into enterprise environments • Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact • Optimize application performance, infrastructure efficiency, and LLM utilization • Document architectures, APIs, and deployment processes to ensure transparency, reusability, and maintainability.

🎯 Requirements

• Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field • 5+ years of experience architecting, building, and scaling complex AI/GenAI systems in enterprise or regulated environments • Expertise in Python, and full-stack engineering for AI — capable of leading architecture across front end, back end, and model integration • Mastery of LLMs, diffusion models, RAG architectures, and multi-agent (A2A) systems, with demonstrated implementation in production • Hands-on experience designing multi-model orchestration and context management using MCP or equivalent protocols/frameworks • Deep understanding of LLMOps/GenAIOps platforms and pipelines, enabling robust observability, versioning, and continuous learning cycles • Proficiency in cloud architecture design (AWS, Azure), including cost optimization, scaling, and secure data governance • Expertise in software architecture patterns (microservices, event-driven, serverless) and API ecosystems (REST, gRPC) • Proven leadership in AI security, governance, and compliance, ensuring full auditability and traceability • Outstanding ability to communicate technical vision to executives and lead strategic AI initiatives across global teams.

🏖️ Benefits

• medical • dental • vision • paid time off • 401(k) plan with employee and company contribution opportunities • life • disability • accident insurance • tuition reimbursement