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Staff AI Software Engineer
CVS HealthStaff AI Engineer developing innovative software solutions at CVS Health for Retail Pharmacy systems. Collaborating with cross-functional teams to drive AI integration and delivering intelligent, scalable solutions.
Posted 5/20/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $130,295 - $260,590 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformGraphQLJavaKafkaKubernetesMicroservicesSpring
About the role
Key responsibilities & impact- responsible for the techno-functional impact analysis, design, and development of software solutions supporting CVS Retail Pharmacy systems
- drive innovation by integrating AI/ML and agentic workflows into enterprise-grade microservices
- collaborate closely with development managers, architects, data scientists, MLOps, QA teams, and business stakeholders to deliver scalable, reliable, and intelligent solutions
- ensure high-quality delivery and proactive risk mitigation prior to production deployment
Requirements
What you’ll need- 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
- bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience (HS diploma + 4 years relevant experience)
Benefits
Comp & perks- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- equitable benefits for families
ATS Keywords
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Hard Skills & Tools
JavaSpringcloud-native developmentAgileDevOpsAIMLMLOpsNLPdata processing
Soft Skills
collaborationinnovationrisk mitigationcommunication