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About the Role
CVS Health is seeking a Senior Full Stack Engineer, Agentic AI Platform to lead engineering efforts for Lumina, an enterprise knowledge and agentic AI platform. This role involves technical and people leadership, driving the evolution of a platform that delivers trusted, secure, and governed AI experiences. You will own the technical direction, architecture, scalability, and operational excellence of Lumina while leading a team of engineers and data scientists. This is a hands-on leadership role requiring active contribution to production code, architectural decision-making, code reviews, and engineering best practices, while simultaneously coaching and developing team members. You will play a critical role in advancing agentic AI capabilities, retrieval-augmented generation (RAG) systems, Model Context Protocol (MCP) integrations, enterprise search, knowledge ingestion, and AI governance. You will drive platform enhancements that improve retrieval quality, strengthen security and access controls, expand automation capabilities, and ensure the platform remains reliable, observable, and scalable as adoption accelerates across CVS Health. This role spans the full technology stack, including Python-based services, agent orchestration frameworks, retrieval pipelines, containerized microservices, React-based user experiences, Kubernetes infrastructure, CI/CD pipelines, observability tooling, and enterprise integrations. The ideal candidate combines deep technical expertise with strong leadership capabilities and is passionate about building production-grade AI platforms that enable measurable business value. Success in this role requires strong software engineering fundamentals, expertise in agentic AI architectures, sound architectural judgment, continuous learning, and the ability to influence technical direction across engineering, product, security, and leadership organizations.
Responsibilities
- Lead the architecture, design, development, and operation of Lumina's enterprise Agentic AI Platform, including agent orchestration, retrieval systems, MCP integrations, Python services, APIs, embedded agents, Slack and Microsoft Teams experiences, and React-based applications.
- Drive platform scalability, reliability, observability, and performance across Azure Kubernetes Service, CI/CD pipelines, OpenTelemetry, Application Insights, Log Analytics, Arize, security scanning, and incident response processes.
- Own enterprise knowledge ingestion and retrieval capabilities, including change data capture pipelines, content processing, vectorization, multimodal content handling, knowledge quality evaluation, source scoring, and retrieval optimization.
- Establish and enforce engineering standards for software development, testing, code reviews, documentation, production readiness, governance, credential management, access controls, and compliance requirements.
- Lead, coach, and develop engineers and data scientists through performance management, career development, goal setting, technical mentorship, stakeholder engagement, and partnership with product, security, compliance, and engineering teams.
Requirements
- 5+ years of software engineering experience developing and supporting production applications, including Python-based services, distributed systems, and data-intensive platforms.
- 4+ years building cloud-native solutions on public cloud platforms, including Azure, Kubernetes, containerized microservices, CI/CD pipelines, Git-based development, and modern DevOps practices.
- 3+ years developing full-stack applications utilizing JavaScript, React, API design, authentication, authorization, and enterprise identity solutions including SSO, OAuth2, OIDC, or Azure Entra ID.
- 2+ years delivering production AI/ML solutions utilizing large language models, retrieval-augmented generation (RAG), vector databases, agent frameworks such as LangChain or LangGraph, enterprise-scale knowledge repositories, and MongoDB Atlas Vector Search or comparable vector database technologies.
- 1+ year supporting LangGraph-based multi-agent orchestration, tool routing, agent workflow design, MCP integrations, and production agentic AI platforms.
- Demonstrated leadership of engineering teams as a people manager, technical lead, or senior individual contributor, with accountability for technical outcomes, delivery execution, mentoring, and talent development.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills
- Python
- Agent orchestration frameworks
- Retrieval pipelines
- Containerized microservices
- React
- Kubernetes
- CI/CD pipelines
- Observability tooling
- Enterprise integrations
- Agentic AI architectures
- JavaScript
- API design
- Authentication
- Authorization
- SSO
- OAuth2
- OIDC
- Azure Entra ID
- Large language models
- Retrieval-augmented generation (RAG)
- Vector databases
- LangChain
- LangGraph
- MongoDB Atlas Vector Search
- Multi-agent orchestration
- Tool routing
- Agent workflow design
- MCP integrations
- Azure Kubernetes Service
- OpenTelemetry
- Application Insights
- Log Analytics
- Arize
- Security scanning
- Incident response
- Change data capture pipelines
- Content processing
- Vectorization
- Multimodal content handling
- Knowledge quality evaluation
- Source scoring
- Retrieval optimization
- Software development standards
- Testing standards
- Code review standards
- Documentation standards
- Production readiness standards
- Governance standards
- Credential management standards
- Access control standards
- Compliance requirements
- Performance management
- Career development
- Goal setting
- Technical mentorship
- Stakeholder engagement
- MCP servers
- MCP clients
- Enterprise tool integrations
- SaaS API-based automation platforms
- Complex agentic workflows
- Retrieval governance
- Document-level security
- Group-based access controls
- Evaluation frameworks
- Retrieval metrics
- Model quality assessment
- AI observability tooling
- Databricks
- Delta Lake
- BigQuery
- Natural language-to-SQL
- Inference optimization
- Prompt engineering
- Model routing
- Caching strategies
- Healthcare industry
- Pharmacy industry
- Regulated industry environments
Work Type
- Full time
Experience Level
- Senior
- 5+ years of software engineering experience
- 4+ years building cloud-native solutions
- 3+ years developing full-stack applications
- 2+ years delivering production AI/ML solutions
- 1+ year supporting LangGraph-based multi-agent orchestration
Education Level
- Bachelor’s degree from an accredited university or equivalent work experience (High School Diploma/GED plus 4 years of relevant experience)
- Advanced degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related discipline
Salary/Compensations
- $101,970.00 - $203,940.00
Benefits
- CVS Health bonus, commission or short-term incentive program
- Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
About the Company
- 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.
- Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric healthcare for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make healthcare more personal, convenient, and affordable.
- 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.
Equal Opportunity
- We strive to promote and sustain a culture of diversity, inclusion, and belonging every day. CVS Health is an affirmative action employer and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active duty, veterans, reservists, National Guard members, and military spouses) to apply for CVS Health job opportunities.