Senior Agentic AI Solutions 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.

POSITION SUMMARY

CVS Health is hiring a Senior Agentic AI Solutions Engineer to join the AI/ML Solutions Delivery organization and build enterprise-scale agentic AI and intelligent automation solutions. The Senior Agentic AI Solutions Engineer will serve as a full-stack AI engineer, designing, developing, and deploying production-ready applications that combine modern software engineering practices with generative AI and agentic frameworks. This role will leverage technologies including ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, Anthropic Claude, Python, APIs, and cloud-native services to deliver secure, scalable, and resilient solutions. The Senior Agentic AI Solutions Engineer will own the end-to-end development lifecycle, spanning application architecture, backend services, AI orchestration, data integration, deployment, and operational support. Working closely with Architecture, Cybersecurity, Platform Engineering, Product, and Operations teams, this individual will help accelerate enterprise AI adoption while ensuring solutions meet CVS Health standards for security, governance, performance, and reliability, and responsible AI practices.

KEY RESPONSIBILITIES

• Design, develop, and deploy production-grade agentic AI and intelligent automation solutions using enterprise platforms including ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, and Anthropic Claude.
• Deliver AI-powered capabilities supporting IT Operations and Cybersecurity use cases such as incident triage, alert correlation, workflow orchestration, and operational decision support.
• Lead the full solution lifecycle from prototype through production deployment and continuous optimization, making informed architectural decisions and technical trade-off recommendations.
• Implement secure-by-design architectures incorporating AI security controls, data privacy protections, prompt injection safeguards, resiliency patterns, failover mechanisms, and graceful degradation strategies.
• Collaborate with Architecture, Cybersecurity, Platform Engineering, Product, and Operations teams while providing technical mentorship to interns and contractor resources.

REQUIRED QUALIFICATIONS

• 5+ years developing software, AI/ML, intelligent automation, or full-stack applications with demonstrated ownership of complex enterprise solutions.
• 5+ years designing scalable cloud-native systems while applying AI governance, security, privacy, access management, resiliency, and operational reliability best practices.
• Proven track record over 4+ years delivering production-ready automation, agentic AI, or generative AI solutions beyond proof-of-concepts and prototype environments.
• 3+ years building Python-based applications, APIs, microservices, and cloud-native services utilizing modern software engineering practices.
• Hands-on expertise spanning 2+ years implementing retrieval-augmented generation (RAG), vector search, document ingestion, and large language model integration architectures.

PREFERRED QUALIFICATIONS

• Experience building agentic AI solutions utilizing Claude or similar large language models, including tool use, function calling, agent orchestration, and multi-step reasoning.
• Knowledge of RAG architectures, embedding models, vector databases such as pgvector, retrieval optimization, reranking techniques, and semantic search frameworks.
• Familiarity with FastAPI, Docker, pytest, document-processing frameworks such as Docling or Unstructured, and modern data engineering practices including SQL and ETL pipelines.
• Experience supporting healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or other highly regulated enterprise environments, with a demonstrated history of delivering results against business commitments and timelines.
• Exposure to MLOps, LLMOps, CI/CD pipelines, cloud services such as Cloud SQL, Cloud Functions, IAM, observability platforms, and production AI operations ; demonstrated ability to apply pragmatic technical judgment and select the most effective solution approach, whether AI-driven or traditional automation-based.

EDUCATION

Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

BUSINESS OVERVIEW

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 health care for a rapidly changing world. …