Staff AI Engineer
Core
Design, build, and operationalize scalable, secure, and responsible Generative AI solutions across the affiliate line of business to accelerate business outcomes and improve experiences for members, providers, and colleagues.
Role type
Staff AI Engineer (Generative AI & Cloud Architecture)
Builds
Production-grade LLM and GenAI applications, cloud-native AI systems, agentic AI systems, and RAG architectures.
Domain
Healthcare / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Large-scale software development, solution architecture, microservices/API design (Node.js), Python for AI/ML, AWS/GCP serverless & event-driven design, agentic AI frameworks, RAG architectures, vector databases, responsible AI governance.
Preferred skills
Vertex AI Generative AI Studio, prompt engineering, LLM security patterns, architectural documentation, Agile/SAFe, cloud certifications.
Technologies
AWS Bedrock, GCP Vertex AI, LangGraph, LangChain, LlamaIndex, OpenSearch, Pinecone, FAISS, pgvector, AWS Lambda, Step Functions, EventBridge, Cloud Functions, Cloud Run, Node.js, Java, Python.
Responsibilities
Drive development of advanced ML models and algorithms; design and implement scalable ML systems and data pipelines; architect agentic AI systems and RAG pipelines; lead model experimentation, fine-tuning, evaluation, and deployment; ensure compliance with data privacy regulations and Responsible AI standards; mentor engineers and contribute reusable patterns.
Seniority
Staff, hands-on IC with architecture and leadership responsibilities
