Staff AI Application Engineer, Enterprise AI job opportunity at GE HealthCare.

Home Jobs In Poland Tag: Enterprise AI Staff AI Application Engineer, Enterprise AI position at GE HealthCare


DatePosted 30+ Days Ago bot
GE HealthCare Staff AI Application Engineer, Enterprise AI
Experience: General
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Enterprise AI

Copy Link Report
degreePhD
loacation Krakow, Poland
loacation Krakow....Poland

Job Description Summary GE HealthCare is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As the Staff AI Application Engineer, you will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. We are seeking a highly skilled and motivated AI Application Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a unified, cross-functional delivery organization - partnering with experts in data engineering, ML engineering, analytics, and GenAI development - to solve complex business challenges and deliver scalable solutions.   Job Description Core Responsibilities: Design and Develop: AI-powered applications, integrating machine learning and generative models into enterprise-grade software products and internal tools. Owning the full software development lifecycle (SDLC), including unit, integration, and end-to-end testing. Frontend: Developing modern, intuitive interfaces for AI applications (React/Next.js, TypeScript, or equivalent) with a strong focus on usability, accessibility, and AI explainability. Backend: Implementing scalable and secure back-end services (FastAPI, Flask, or Node.js) to expose AI capabilities (LLMs, RAG pipelines, AI agents) through standardized APIs. Translating data science prototypes and GenAI models (LLMs, diffusion models, transformers) into scalable applications or services with intuitive user interfaces and reliable back-end infrastructure. Collaborating with Insight Leaders and business stakeholders on requirements gathering, project documentation, and development planning. Partnering with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications within standardized CI/CD pipelines. Designing and implementing integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources. Integrating cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph) into enterprise environments. Monitoring application performance and user adoption, iterating on models and workflows to enhance usability and business impact. Optimizing application performance, infrastructure efficiency, and LLM utilization. Documenting architectures , APIs, and deployment processes to ensure transparency, reusability, and maintainability. Requirements Education: Master’s or PhD degree (or equivalent experience) in Computer Science, Software Engineering, Artificial Intelligence, or related STEM field. Experience: hands-on experience developing and deploying AI-powered or data-driven applications in enterprise environments. Advanced proficiency in Python , plus strong working knowledge of TypeScript/JavaScript and at least one modern web framework (React, Next.js, FastAPI, Flask). Proven track record implementing end-to-end AI systems , integrating ML/LLM models into scalable microservices or enterprise applications. Strong experience in ML/GenAI frameworks (TensorFlow, PyTorch, LangChain, AutoGen, Semantic Kernel) and cloud-native AI platforms (AWS Bedrock, Azure OpenAI). Working knowledge of cloud environments (AWS, Azure, or GCP) and containerization tools ( Docker ). Deep experience with Docker , Kubernetes , and CI/CD automation for AI workloads. Demonstrated experience with RAG pipelines, vector databases , and document retrieval frameworks. Solid understanding of LLMOps / GenAIOps integration patterns , model evaluation, and prompt optimization workflows. Strong collaboration skills and the ability to communicate effectively within cross-functional teams. Ability to mentor junior engineers , perform code reviews, and contribute to architectural decisions. Strong problem-solving, debugging, and analytical skills, with clear and persuasive communication to technical and business audiences. #LI-MT1 #LI-Hybrid   Pay Range For Poland based positions, Annual Salary Range:287,200.00PLN-394,900.00PLN Placement within this range depends on: Relevant skills and qualifications Prior job-related experience Internal equity considerations (alignment with colleagues in similar roles) e.t.c. We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations. Benefits & Rewards In addition to base salary, our employees have access to a comprehensive package of benefits and allowances, which may include: Health & wellness coverage Retirement and or savings plans Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable) Work-life balance support (e.g., flexible working, leave programs) Recognition and incentive programs aligned with performance and company success The exact benefits package depends on the role, location, and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage. Performance Bonus: Details to be shared during offer discussions Additional Information Relocation Assistance Provided: Yes  

Other Ai Matches

Hardware Integration Manager Applicants are expected to have a solid experience in handling Job related tasks
Sr. Software Engineer Applicants are expected to have a solid experience in handling Job related tasks
Customs Compliance Leader - Europe Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Customer Supply Excellence Manager Applicants are expected to have a solid experience in handling Job related tasks
Production Team Leader Applicants are expected to have a solid experience in handling Job related tasks
Director - AI Science Applicants are expected to have a solid experience in handling Job related tasks
Lead Manufacturing Specialist - Prod Process and Equipment (multiple positions) Applicants are expected to have a solid experience in handling Job related tasks
Estágio em Planejamento Financeiro Applicants are expected to have a solid experience in handling Job related tasks
Advanced Manufacturing Engineer – Digital Supply Chain Applicants are expected to have a solid experience in handling Job related tasks
Service Account Leader – HCS (Wallonia & Luxembourg) Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Clinical Applications Specialist - Anesthesia & Respiratory Care Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Global Head, Regulatory Affairs – Labeling (PDx) Applicants are expected to have a solid experience in handling Regulatory Affairs – Labeling (PDx) related tasks
remote-jobserver Remote
Capital Equipment Deal Hub Architect (Commercial) Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Field Service Engineer 2 - So. Illinois - KY Applicants are expected to have a solid experience in handling Job related tasks
Staff AI Application Engineer, Enterprise AI Applicants are expected to have a solid experience in handling Enterprise AI related tasks
National Sales Manager Applicants are expected to have a solid experience in handling Job related tasks
Staff Technical Project Manager, CT Applicants are expected to have a solid experience in handling CT related tasks
Senior Lifecycle Operations Engineer Applicants are expected to have a solid experience in handling Job related tasks
Field Service Engineer- Toscana Applicants are expected to have a solid experience in handling Job related tasks
Staff Software Engineer Applicants are expected to have a solid experience in handling Job related tasks
Field Service Engineer（千葉） Applicants are expected to have a solid experience in handling Job related tasks
Clinical Application Manager - Voluson Applicants are expected to have a solid experience in handling Job related tasks
Early Career Trainee, Diagnostics Imaging Applicants are expected to have a solid experience in handling Diagnostics Imaging related tasks