Lead Agentic AI Solutions Engineer

Job not on LinkedIn

🔥 37 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $130.3k - $260.6k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Design, develop, and deploy production-grade agentic AI and intelligent automation solutions using 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 engineering, 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 full solution lifecycle from architecture and prototyping through production deployment, monitoring, optimization, and continuous improvement • 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 technical mentorship to interns and contractor resources • Serve as a technical lead for assigned initiatives and establish enterprise AI engineering standards and best practices • Own application architecture, backend services, AI orchestration, data integration, deployment, and operational support

🎯 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 • Experience building multi-agent systems, workflow orchestration solutions, or intelligent automation platforms • 3+ years building Python-based applications, APIs, microservices, and cloud-native services • Experience with 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 • 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 • Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program • Award target in the company’s equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being

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