# Lead Agentic AI Solutions Engineer

**Company**: CVS Health
**Location**: Work from home, CT, CT
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $130,295.00 - $260,590.00
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/CT---Work-from-home/Lead-Agentic-AI-Solutions-Engineer_R1080551?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/lead-agentic-ai-solutions-engineer-3a638849-730/

## Description

CVS Health is seeking a Lead Agentic AI Solutions Engineer to join the AI/ML Solutions Delivery organization. The successful candidate will design, develop, and deploy production-ready applications that combine modern software engineering practices with generative AI and agentic frameworks.

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, operational decision support, and intelligent remediation.

- Design and implement end-to-end agentic AI systems utilizing multi-agent architectures, prompt engineering, context engineering, tool orchestration, memory frameworks, AI guardrails, and evaluation frameworks.

- Build and optimize Retrieval-Augmented Generation (RAG), GraphRAG, vector search, document ingestion, and enterprise knowledge integration solutions to improve AI accuracy and decision-making.

- Lead the full solution lifecycle from architecture and prototyping through production deployment, monitoring, optimization, and continuous improvement while making informed technical tradeoff decisions.

- Implement secure-by-design architectures incorporating 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 while providing technical mentorship to interns and contractor resources, and serving as a technical lead for assigned initiatives.

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 while applying AI governance, security, privacy, access management, resiliency, and operational reliability best practices.

- Proven track record delivering production-ready automation, generative AI, or agentic AI solutions beyond proof-of-concept environments, including experience building multi-agent systems, workflow orchestration solutions, or intelligent automation platforms.

- 3+ years building Python-based applications, APIs, microservices, and cloud-native services utilizing modern software engineering practices, CI/CD pipelines, and automated testing approaches.

- Hands-on experience implementing RAG architectures, vector search, document ingestion, LLM integrations, prompt engineering, context engineering, evaluation frameworks, testing harnesses, and agent performance measurement methodologies within enterprise environments.

Preferred Qualifications:

- Experience building agentic AI solutions utilizing 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 techniques, semantic search frameworks, and memory architectures.

- Experience with agent engineering concepts including prompt engineering, context engineering, AI guardrails, evaluation frameworks, benchmark testing, model observability, and responsible AI controls.

- Familiarity with FastAPI, Docker, pytest, document-processing frameworks such as Docling or Unstructured, modern data engineering practices, SQL, ETL pipelines, MLOps, LLMOps, and CI/CD automation.

- Experience supporting healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or other highly regulated environments, with 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.

The typical pay range for this role is: $130,295.00 - $260,590.00 per year.

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## Skills

### Required
- Python
- ServiceNow
- Databricks
- Google Vertex AI
- Azure AI Foundry
- Anthropic Claude
- multi-agent architectures
- prompt engineering
- context engineering
- tool orchestration
- memory frameworks
- AI guardrails
- evaluation frameworks

### Nice to have
- Claude
- RAG
- GraphRAG
- vector search
- document ingestion
- LLM integrations
- FastAPI
- Docker
- pytest
- SQL
- ETL pipelines
- MLOps
- LLMOps
- CI/CD automation

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Source: [Apply at cvshealth.wd1.myworkdayjobs.com](https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/CT---Work-from-home/Lead-Agentic-AI-Solutions-Engineer_R1080551?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)