Senior AI Engineer, GenAI & Cloud Platform Lead

CVS Health; Indiana (PA); Hybrid; USD 107,000 - 261,000; Full time

Job summary

CVS Health is seeking a senior AI/ML engineer to design, build, and operationalize scalable GenAI solutions across AWS Bedrock and GCP Vertex AI. You will work in a HIPAA-regulated environment, leading cross-functional teams to deliver secure ML systems, data pipelines, and model governance.

You will collaborate with data scientists, clinicians, and IT to define requirements, implement scalable architectures, and monitor model performance, cost, and reliability.

Qualifications

• Bachelor's degree or higher; relevant experience accepted in lieu of degree.
• 7+ years of large-scale software development experience.
• 5+ years in solution architecture or system design.
• 5+ years building microservices/APIs using Node.js.
• 3+ years with GCP and AWS in serverless, event-driven, AI/ML.
• Experience with Agentic AI frameworks and RAG architectures.
• Strong Python for AI/ML engineering and systems design.

Responsibilities

• Design, build, and operationalize scalable, secure Generative AI solutions across CVS Health.
• Lead ML model development, evaluation, and deployment.
• Collaborate with data scientists, clinicians, and IT to align with business goals.
• Define performance metrics and ensure model testing, validation, and monitoring.

Skills

Large-scale software development

Solution architecture

Node.js APIs

GCP & AWS

Python for AI/ML

Agentic AI frameworks

RAG architectures

Serverless architectures

Communication skills

Education

Bachelor's degree

Tools

AWS Bedrock

GCP Vertex AI

OpenSearch

Pinecone

FAISS

Job description

CVS Health is seeking a senior AI/ML engineer to design, build, and operationalize scalable GenAI solutions across AWS Bedrock and GCP Vertex AI. You will work in a HIPAA-regulated environment, leading cross-functional teams to deliver secure ML systems, data pipelines, and model governance.

You will collaborate with data scientists, clinicians, and IT to define requirements, implement scalable architectures, and monitor model performance, cost, and reliability.