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About the Role
Serve as a senior technical leader and hands-on engineer responsible for designing, building, and modernizing mission-critical technology solutions for the Claims Adjudication organization. Advance CVS Health’s transition toward modern, AI-driven, cloud-native platforms while ensuring reliability and integration with legacy systems.
Responsibilities
- Lead the architecture, design, and implementation of scalable, secure, resilient, and maintainable enterprise software solutions.
- Establish architecture principles, design patterns, reference architectures, engineering standards, and technical guardrails.
- Lead architecture reviews, design discussions, and technical decision-making forums with engineering teams, architects, product partners, and leadership.
- Design, develop, and deploy cloud-native solutions such as API, micro services, CI/CD pipelines and real-time streaming on public cloud platforms, preferably Azure or GCP.
- Remain actively hands-on in software design, coding, code reviews, debugging, troubleshooting.
- Design, implement, and improve CI/CD pipelines for automated build, test, security scanning, deployment, and release management.
- Partner with business and technology teams to identify high-value AI use cases and translate them into scalable technical solutions.
- Design, build, and deploy enterprise-grade Agentic AI and Generative AI solutions translating SDLC to ADLC.
- Support model evaluation, prompt evaluation, response quality assessment, guardrails, responsible AI practices, and AI governance.
- Integrate LLMs, AI/ML models, vector stores, orchestration frameworks, and cloud-native services into enterprise applications.
- Communicate complex technical concepts clearly to engineering teams, architects, product owners, business stakeholders, and senior leadership.
- Partner with cross-functional teams to align technology execution with business outcomes.
Requirements
- 7+ years of software engineering experience, including significant experience designing and building enterprise-scale software systems.
- Strong architecture experience across distributed systems, micro services, APIs, event-driven architecture, domain-driven design, and cloud-native platforms.
- Hands-on experience building applications in Python, Java, React and other open source frameworks.
- 2+ years of experience designing or implementing Generative AI, Agentic AI, LLM-based, or AI/ML-enabled applications.
- Experience with Enterprise RAG patterns, vector databases, embeddings, prompt engineering, AI orchestration, and AI application integration.
- Experience implementing CI/CD pipelines and DevSecOps practices using tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, or equivalent.
- Exposure to observability practices including logging, tracing, monitoring, reporting and production troubleshooting.
- Strong verbal and written communication skills with the ability to influence technical and non-technical stakeholders.
- Experience leading complex technical initiatives, setting technical direction, mentoring engineers, and driving execution across teams.
- 10+ years leading concurrent technical projects in both legacy IBMi/AS400 or similar and emerging technologies.
- Health care industry domain knowledge.
- Experience with RxClaim or other PBM adjudication systems.
- Experience with Agentic AI frameworks such as Semantic Kernel, LangGraph, LangChain, AutoGen, CrewAI, or equivalent.
- Experience leading enterprise AI transformation initiatives, establishing AI engineering best practices, and defining standards for Agentic AI and Generative AI adoption.
- Experience designing and implementing AI Agents using tool calling, reasoning frameworks, workflow orchestration, multi-agent systems, and autonomous execution patterns.
Skills
- Enterprise software architecture
- Full-stack application development
- Cloud-native development
- Agentic AI
- Generative AI
- Python
- Java
- React
- Open source frameworks
- API development
- Microservices
- CI/CD pipelines
- Real-time streaming
- Azure
- GCP
- DevSecOps
- Observability practices
- Logging
- Tracing
- Monitoring
- Reporting
- Production troubleshooting
- Semantic Kernel
- LangGraph
- LangChain
- AutoGen
- CrewAI
Location
- US
Work Type
- Remote
- Full-time
Experience Level
- Senior
- Staff
Education Level
- Bachelor’s degree or equivalent experience
Salary/Compensations
- $118,450.00 - $260,590.00
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- CVS Health bonus
- Commission or short-term incentive program
- Equity award program
About the Company
- CVS Health is building a world of health around every individual, shaping a more connected, convenient, and compassionate health experience.
- Surround yourself with passionate colleagues who care deeply, innovate with purpose, hold themselves accountable, and prioritize safety and quality.
- Be part of something bigger – helping to simplify health care one person, one family, and one community at a time.
Equal Opportunity
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.