Senior Software Development Engineer

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.

Summary We are seeking a highly accomplished Lead AI Engineer with 10 years of total IT experience to join our team. In this strategic, hands-on leadership role, you will serve as the senior technical authority responsible for architecting and delivering enterprise-grade Agentic AI solutions that fundamentally transform Finance and Corporate Affairs operations at scale. As the engineering anchor of a high-performing, cross-functional team, you will drive the full software development lifecycle (SDLC) from initial architecture through production delivery — while establishing AI platform standards, leading rigorous technical reviews, and actively mentoring a team of senior and mid-level engineers. Your contributions will directly shape intelligent automation capabilities for our business. This is a high-visibility, high-impact role at the intersection of advanced AI engineering and enterprise domain expertise. We are looking for a leader who combines deep technical mastery with the ability to communicate complex architectural decisions to executive stakeholders — someone who builds production AI systems that solve real-world, mission-critical business challenges.

10 years of total IT experience, with a significant portion in senior or lead engineering roles delivering enterprise-scale solutions across the full SDLC. Demonstrated technical leadership experience — driving architecture decisions, managing engineering teams, conducting design reviews, and owning delivery outcomes in a cross-functional, matrixed environment. Deep expertise in designing and delivering enterprise Agentic AI applications using Python, LangChain, LangGraph, and Azure OpenAI — building autonomous, multi-step AI systems with durable state management and fault-tolerant execution. Strong domain knowledge in Finance and Corporate Affairs domain, including a thorough understanding of complex document structures such as contracts, compliance filings, regulatory submissions, matter intakes, and legal correspondence — enabling accurate AI-driven ingestion, classification, and routing at scale. Hands-on experience with Intake workflows automation — designing automated intake systems that capture, classify, and triage, and route intake requests through intelligent AI pipelines. Proven experience with SAP integrations — connecting AI-driven workflows with SAP ERP modules. Expertise designing multi-agent state-machine architectures with LangGraph — implementing supervisor, router, and specialist agent patterns with inter-agent handoff protocols and shared memory and context management across long-running workflows. Strong proficiency building production-grade RAG (Retrieval-Augmented Generation) pipelines incorporating vector embeddings, semantic chunking, hybrid search, and multi-modal knowledge retrieval for legal, compliance, and procurement use cases. Hands-on experience engineering full-stack AI solutions on Azure Cloud — including Azure OpenAI, Azure Kubernetes Service (AKS), Azure API Management (APIM), Azure Blob Storage, and Azure Cognitive Services — within secure, regulated enterprise architectures. Experience designing and maintaining CI/CD pipelines using GitHub Actions, Docker containerization, and AKS deployments — including model integration testing, vulnerability scanning, and event-driven architectures for high-throughput, scalable AI workloads. Demonstrated ability to implement enterprise-grade AI security controls — including prompt injection