CVS Health
Healthcare · Pharmacy
- HQ
- Woonsocket, US
- Founded
- 1963
- Size
- 300,000+
- Website
- cvshealth.com
CVS Health has 8 active AI-related job listings. The majority of these roles, 63%, are focused on agents. The company is hiring for these positions primarily in the United States. Frequent tech tags include agent_orchestration, llm_observability, and guardrails, suggesting a focus on managing and controlling AI agent behavior. Over the last 30 days, CVS Health has added 10 new AI roles, representing a 900% increase from the previous 30-day period.
Currently tracking 4 active AI roles, down 77% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $83k–$288k (avg $188k).
Healthcare · Pharmacy
CVS Health currently has 4 active AI-related roles in our index. The most common open titles are: Executive Director, AI Infrastructure & Platform Engineering, Principal Network Engineer - AI Infrastructure, Staff Software Development Engineer, Staff Software Engineer - Search / AI. Most positions are in Engineering.
CVS Health's active AI hiring is concentrated in: agents (50%), serving infrastructure (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
CVS Health is hiring AI talent in: United States (4 roles).
Job postings at CVS Health most frequently reference: inference infra, model serving, agent orchestration, rag, llm observability.
In the past 30 days, CVS Health has posted 7 new AI-related roles. That is a -30% change versus the prior 30 days (10 → 7).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer - Search / AI Staff Software Engineer - Search / AI role at CVS Health, focusing on driving architecture, design, and delivery of scalable, cloud-native platforms with AI capabilities. The role involves leading the development and integration of AI/ML solutions like LLMs and RAG, enabling intelligent search and decision support, and optimizing search algorithms. It requires strong software engineering skills, experience with microservices, cloud-native applications, and AI/ML integration, with an emphasis on responsible AI practices. | AgentServe | 7 |