Sr Staff AIOps and DevOps Engineer

Job Summary

GE HealthCare’s Chief Data and Analytics Office (CDAO) delivers innovative data, insights, and AI solutions across the organization. Our Enterprise AI team drives a diverse portfolio of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) initiatives. We’re seeking a highly skilled and motivated Engineer experienced in ML and GenAI operations, software development, and AI architecture to join our dynamic and growing team.

Core Responsibilities

• Develop and operationalize ML and GenAI pipelines to enable scalable, reliable, and secure deployment of AI models across GE HealthCare’s enterprise landscape.
• Automate model lifecycle management, including model versioning, continuous integration (CI/CD), testing, deployment, observability, monitoring, and governance in alignment with enterprise standards.
• Partner with IT and cloud teams to optimize infrastructure for AI workloads across hybrid and multi‑cloud environments (AWS, Azure).
• Collaborate with cross‑functional teams—data scientists, software engineers, architects, and domain experts—to ensure smooth end‑to‑end delivery of AI solutions.
• Integrate Generative AI capabilities (e.g., LLMs, multimodal models) into business workflows, enhancing automation, productivity, and decision intelligence.
• Conduct research and proof‑of‑concepts to evaluate emerging tools, frameworks, and architectures for GenAI and ML Ops (e.g., LangChain, MLflow, Kubeflow, MS Copilot, OpenAI Agent Builder).
• Mentor and guide data science and engineering teams on best practices in productionizing AI models and managing their lifecycle.
• Promote a culture of innovation, collaboration, and continuous improvement within the Enterprise AI team.

Experience & Qualifications

• PhD or Master’s degree in Computer Science, Data Science, Engineering, or a related discipline with a strong focus on engineering and ML/DevOps.
• Advanced hands‑on experience in developing, deploying, and maintaining ML/AI development pipelines and applications in enterprise environments.
• Proficiency in Python, cloud platforms (AWS, Azure), containerization, CI/CD, and DevOps practices (Docker, Kubernetes, GitHub Actions, Jenkins).
• Working knowledge of MLOps / GenAIOps tools and frameworks (e.g., MLflow, SageMaker, Bedrock, LangSmith, LangGraph).
• Proven ability to translate research and prototypes into scalable enterprise‑grade solutions.
• Excellent communication, collaboration, and stakeholder management skills with the ability to influence both technical and executive audiences.
• Curiosity and drive for continuous learning, staying current with advances in GenAI, MLOps, and AI infrastructure technologies.
• Experience with vector databases (e.g., Pinecone, FAISS, Milvus) and retrieval‑augmented generation (RAG) pipelines.
• Experience with LLM prompt engineering and LangChain architecture.
• Strong understanding of multi‑agent or distributed AI ecosystems, enabling consistent model‑to‑model communication (MCP, A2A) and orchestration.

Pay Range

For Poland based positions, Annual Salary Range: 356,000.00 PLN – 489,500.00 PLN. Placement within this range depends on relevant skills and qualifications, prior job‑related experience, and internal equity considerations.

Benefits & Rewards

• Health and 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