Senior Agentic AI Platform Engineer for Enterprise AI

CVS Health; Connecticut; Hybrid; USD 102,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is hiring a Senior Agentic AI Platform Engineer to join the AI/ML Solutions Delivery organization and build foundational platform capabilities that accelerate enterprise-scale adoption of agentic AI solutions.

The role designs, develops, and operationalizes reusable components, accelerators, pipelines, and harnesses to move products from prototype to production with security, scalability, and governance at the core. 40-hour weeks, full-time.

Qualifications

• 5+ years building AI/ML platforms or enterprise software with ownership.
• 4+ years creating reusable platform capabilities adopted across teams.
• 3+ years hands-on with Google Vertex AI, Azure AI, ServiceNow AI, Databricks or similar.
• 2+ years implementing RAG, agentic AI, vector search and LLM integrations.
• 2+ years designing secure, scalable distributed systems with governance.

Responsibilities

• Design, develop, and maintain reusable platform components and pipelines.
• Own platform lifecycle including architecture, versioning, and production hardening.
• Implement secure-by-design patterns with governance and resiliency.
• Collaborate with architects, product teams, security, and ops to drive adoption.
• Provide technical leadership and mentoring to contractors and interns.

Skills

AI/ML platform development

Reusable platform capabilities

Vertex AI / Azure AI / ServiceNow AI /

RAG architectures

Distributed systems design and AI gov

Education

Bachelor’s degree

Tools

Google Vertex AI

Databricks

Claude

ServiceNow AI

Python

Job description

CVS Health is hiring a Senior Agentic AI Platform Engineer to join the AI/ML Solutions Delivery organization and build foundational platform capabilities that accelerate enterprise-scale adoption of agentic AI solutions.

The role designs, develops, and operationalizes reusable components, accelerators, pipelines, and harnesses to move products from prototype to production with security, scalability, and governance at the core. 40-hour weeks, full-time.