Principal Architect GenAI and ML Ops
Core
Design, deliver, and maintain robust development and deployment pipelines for high-impact Machine Learning and Generative AI applications across GE HealthCare's enterprise landscape.
Role type
Principal Architect GenAI and ML Ops
Builds
Scalable, reliable, and secure AI model deployments and operational infrastructure for Finance, Commercial, Supply Chain, Quality, and Manufacturing domains.
Domain
Healthcare enterprise technology, Generative AI, Machine Learning Operations
Deliverable
production ML models
Required skills
MLOps/GenAIOps tooling, Python, cloud architecture (AWS/Azure), containerization, CI/CD, LLMs and transformers, vector databases, RAG pipelines, multi-agent AI orchestration, API development, data preprocessing, feature engineering, model evaluation
Preferred skills
LangChain, LangGraph, prompt engineering, research and proof-of-concept evaluation, mentoring teams
Technologies
MLflow, SageMaker, Bedrock, LangSmith, LangGraph, FastAPI, Flask, Airflow, Docker, Kubernetes, GitHub Actions, Jenkins, Pinecone, FAISS, Milvus, TensorFlow, Keras, PyTorch, Scikit-learn, Hadoop, Spark, Jupyter
Responsibilities
Develop and operationalize ML and GenAI pipelines; Automate model lifecycle management including versioning, CI/CD, testing, and monitoring; Partner with IT and cloud teams to optimize hybrid/multi-cloud infrastructure; Integrate Generative AI capabilities into business workflows; Conduct research and proof-of-concepts for emerging tools; Mentor teams on productionizing AI models
Seniority
Principal, hands-on IC with strategy & mentorship