Lead Agentic AI Solutions Engineer

CVS Health • Work At Home-Connecticut, CT

1d • $130,295 - $260,590

About The Position

CVS Health is hiring a Lead Agentic AI Solutions Engineer for its AI/ML Solutions Delivery organization to build enterprise-scale agentic AI and intelligent automation solutions. The role is a full-stack AI engineering position focused on designing, developing, and deploying production-ready applications that combine software engineering with generative AI and agentic frameworks. It will lead the engineering and operationalization of solutions supporting IT Operations, Cybersecurity, and intelligent automation.

Requirements

• 7+ 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 and applying AI governance, security, privacy, access management, resiliency, and operational reliability practices.
• Proven experience delivering production-ready automation, generative AI, or agentic AI solutions beyond proof-of-concept environments, including multi-agent systems, workflow orchestration, or intelligent automation platforms.
• 3+ years building Python-based applications, APIs, microservices, and cloud-native services using modern software engineering practices, CI/CD pipelines, and automated testing.
• Hands-on enterprise experience with RAG architectures, vector search, document ingestion, LLM integrations, prompt and context engineering, evaluation frameworks, testing harnesses, and agent performance measurement.
• Bachelor’s degree from an accredited university or equivalent work experience (high school diploma plus 4 years of relevant experience).

Nice To Haves

• Experience building agentic AI solutions with Claude or similar large language models, including tool use, function calling, agent orchestration, multi-agent architectures, and multi-step reasoning.
• Knowledge of RAG and GraphRAG architectures, embedding models, vector databases such as pgvector, retrieval optimization, reranking, semantic search frameworks, and memory architectures.
• Experience with prompt and context engineering, AI guardrails, evaluation frameworks, benchmark testing, model observability, and responsible AI controls.
• Familiarity with FastAPI, Docker, pytest, Docling or Unstructured, modern data engineering practices, SQL, ETL pipelines, MLOps, LLMOps, and CI/CD automation.
• Experience in healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or other highly regulated environments.
• Exposure to Databricks Mosaic AI, Google Agent Development Kit (ADK), Azure AI Foundry, AWS Bedrock, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agent orchestration technologies.

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 for IT Operations and Cybersecurity, including incident triage, alert correlation, workflow orchestration, operational decision support, and intelligent remediation.
• Design and implement end-to-end agentic AI systems using multi-agent architectures, prompt and context engineering, tool orchestration, memory frameworks, AI guardrails, and evaluation frameworks.
• Build and optimize RAG, GraphRAG, vector search, document ingestion, and enterprise knowledge integration solutions.
• Lead the solution lifecycle from architecture and prototyping through production deployment, monitoring, optimization, and continuous improvement; make informed technical tradeoff decisions.
• Implement secure-by-design architectures with AI security controls, data privacy protections, prompt injection safeguards, resiliency patterns, failover mechanisms, and responsible AI practices.
• Collaborate with Architecture, Cybersecurity, Platform Engineering, Product, and Operations teams.
• Provide architectural guidance and technical mentorship to junior engineers, interns, and contractors, and help establish engineering standards and best practices.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility
• Eligible for a CVS Health bonus, commission, or short-term incentive program
• Includes an award target in the company’s equity award program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior