Staff Software Engineer (Agentic AI & Cloud Solutions)

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, reusable Skills, and multi-agent orchestration frameworks to automate complex business processes, enhance decision-making, and accelerate digital transformation initiatives. Design and optimize AI-powered platforms utilizing vector databases, semantic search, contextual retrieval, and token-efficient prompting strategies to deliver scalable, accurate, and cost-effective Generative AI solutions. Establish technical standards and best practices for Model Context Protocol (MCP) integrations, AI Skills development, agent orchestration, memory management, and workflow automation to enable secure and scalable enterprise AI ecosystems. Lead the development of intelligent software solutions that combine cloud-native architectures, modern AI frameworks, Retrieval-Augmented Generation (RAG), and agentic workflows to improve operational efficiency, developer productivity, and business outcomes. Partner with teams across functions and provide expert solutions to multiple complex technical projects/initiatives using interlocking technologies. Quickly acquire domain knowledge and build subject matter expertise to advise and guide technical leads and peers. Establish and drive execution of technical direction, standards, guidelines, and methodologies, while advocating best practices. Lead assigned team projects and mentor junior resources as needed. Required Qualifications 7+ years of experience as a Software Engineer or combination of machine learning and software engineering with 5+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers 5+ years of experience developing software using tools like Angular, Java Spring boot, creating cloud native environments in platforms like GCP, Azure or AWS 3+ years of Python programming with In-depth understanding of APIs and microservices-based architecture and Git and version control 2+ years of experience in AI and agentic solution development, including: Designing and deploying intelligent agents and autonomous workflows, Integrating AI/ML models into cloud-native applications. Leveraging LLMs, vector databases, and orchestration frameworks to build agentic systems, Applying prompt engineering, retrieval-augmented generation (RAG), and multi-agent collaboration patterns Preferred Qualifications Health care industry domain knowledge 5+ years Python programming Experience with enterprise development tools and methodologies (XP, Agile), including DevSecOps and DataOps Experience with RxClaim or other PBM adjudication systems Education Bachelors or equivalent experience Pay Range The typical pay range for this role is: $106,605.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments . We anticipate the application window for this opening will close on: 10/02/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.