St6aff Software Engineer (Agentic AI & Cloud Solutions)

CVS Health is seeking a Staff Software Engineer specializing in developing machine learning solutions using Agentic AI/ML. This role will lead project teams and is instrumental in modern AI-driven approaches within the Claims Adjudication team.

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

Requirements:

• 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
• 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