CVS Health
Staff Software Engineer (Agentic AI & Cloud Solutions)
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Job Description
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
CVS Health is seeking a Staff Software Engineer specializing in developing machine learning solutions using Agentic AI/ML serving as a leader and role model in engineering for both peers and clients.This team is part of the very impactful Claims Adjudication team and this role will be instrumental in our leap to modern AI driven approaches.
The successful candidate will lead project teams working with a diverse range of technologies, including public cloud such as Azure, GCP, on-prem systems such as IBMi and advanced Agentic AI/ML frameworks.
**We will consider remote US for the right candidate
Key Responsibilities
- Able to develop a vision and formulate implementation plans to achieve end goals, evaluating situations, decisions, and issues in the short, medium, and long term.
- Capable of breaking down complex problems, processes, or projects into manageable components for systematic exploration and evaluation.
- Design and implement complex software solutions for APIs, microservices, CI/CD pipelines, and real-time streaming on cloud platforms such as Azure or GCP.
- Conduct research on emerging technologies, design principles, and development frameworks to ensure software solutions remain current, innovative, and future-proof.
- Provide technical guidance in software design and development activities, ensuring clean, scalable, and maintainable code following best practices and design patterns.
- Architect and implement enterprise-scale Agentic AI solutions leveraging MCP, RAG, reusab
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