Staff AI Software Engineer
Company: CVS Health
Location: California (Remote)
Salary: $130,295 - $260,590 a year
Type: Full-time
Remote: Yes
Posted: 2026-05-21
About this role
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
The Staff AI Engineer is responsible for the techno-functional impact analysis, design, and development of software solutions supporting CVS Retail Pharmacy systems, including Tier 1 platforms such as RxConnect.
This role combines deep expertise in Java-based backend systems with strong capabilities in AI, conversational systems, and agent-based architectures. The engineer will drive innovation by integrating AI/ML and agentic workflows into enterprise-grade microservices.
The Staff AI Engineer will collaborate closely with development managers, architects, data scientists, MLOps, QA teams, and business stakeholders to deliver scalable, reliable, and intelligent solutions. The role requires ownership across the full software development lifecycle, ensuring high-quality delivery and proactive risk mitigation prior to production deployment.
Required Qualifications
- 7+ years of software development experience, including Java (Spring ecosystem) and enterprise/web applications
- 5+ years in cloud-native development, modern architectures, and Agile/DevOps practices
- 5+ years of AI/ML expertise, including conversational AI, agent-based systems, and production AI agents
- Experience integrating LLMs/GenAI and ML models into enterprise and microservices environments (REST/GraphQL APIs)
- Strong knowledge of MLOps lifecycle, NLP pipelines, and structured/unstructured data processing
- Proficiency with cloud platforms (GCP/AWS/Azure), Kubernetes, CI/CD, event streaming (Kafka), databases, and IaC
**Preferred ...