CVS Health

Principal Software Development Engineer to own the AI Platform within HCD, focusing on LLM gateway strategy, Model Context Protocol (MCP) design, reference architectures, and the Agent Development Lifecycle (ADLC). The role involves leading architectural decisions for agents, setting engineering standards, driving complex problems, and ensuring quality gates, eval framework design, and production readiness. Responsibilities include owning observability, building CI/CD pipelines with LLM evaluations, defining AI SDLC standards, and managing AI spend and metrics. The role requires deep expertise in Python, cloud infrastructure (Azure), API gateway patterns, and LLM routing, with a focus on sensitive data handling and compliance in a regulated environment.

Staff Software Engineer focused on Developer Experience (DevEx) and building an AI-assisted, least-privilege access platform. The role involves owning the architecture, platform engineering, and ensuring security and governance for this AI-powered system, which aims to simplify access governance for engineers.

Product Manager role focused on leading the development and launch of AI and advanced analytic powered capabilities and applications for internal users within CVS Health's Analytics & Behavior Change organization. This role involves managing stakeholders, conducting user research, collaborating with design and engineering teams, managing the product backlog, and defining product roadmaps to drive a transformational shift in how CVS Health leverages technology and analytics.

Senior Software Development Engineer at CVS Health focused on designing, developing, and implementing digital solutions using advanced technical expertise. The role involves architecting software applications, conducting system testing, and collaborating with cross-functional teams. Key responsibilities include writing code, implementing complex functionalities, integrating software components, and ensuring the reliability and quality of digital solutions. The role also requires exploring new tools and techniques to drive innovation and maintaining technical documentation. Experience with major LLMs, prompt engineering, RAG fundamentals, and AI orchestration is required.