Lead Agentic AI Solutions Engineer

atCVS HealthRemoteUS flagConnecticutFull-timeSolutions EngineerSenior$130.3k – $260.6k/year

Posted 1 day ago

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Create, develop, and implement production-quality agentic AI and intelligent automation solutions utilizing ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, and Anthropic Claude.

• Provide AI-driven functionalities for IT Operations and Cybersecurity, encompassing incident triage, alert correlation, workflow orchestration, operational decision support, and intelligent remediation.

• Design and execute comprehensive agentic AI systems using multi-agent architectures, prompt engineering, context engineering, tool orchestration, memory frameworks, AI guardrails, and evaluation frameworks.

• Construct and enhance RAG, GraphRAG, vector search, document ingestion, and enterprise knowledge integration solutions.

• Oversee the entire solution lifecycle from architecture and prototyping to production deployment, monitoring, optimization, and continuous enhancement.

• Implement secure-by-design architectures with AI security measures, data privacy safeguards, prompt injection defenses, resiliency patterns, failover strategies, and responsible AI practices.

• Collaborate with Architecture, Cybersecurity, Platform Engineering, Product, and Operations teams.

• Provide technical guidance to interns and contractor resources.

• Act as a technical leader for assigned projects and establish enterprise AI engineering standards and best practices.

• Manage application architecture, backend services, AI orchestration, data integration, deployment, and operational support.


⛳️ Requirements

• Minimum of 7 years in software development, AI/ML, intelligent automation, or full-stack applications with a proven track record in managing complex enterprise solutions.

• At least 5 years of experience in designing scalable cloud-native systems while adhering to AI governance, security, privacy, access management, resiliency, and operational reliability best practices.

• Established history of delivering production-ready automation, generative AI, or agentic AI solutions beyond proof-of-concept stages.

• Experience in developing multi-agent systems, workflow orchestration solutions, or intelligent automation platforms.

• Over 3 years of experience building Python-based applications, APIs, microservices, and cloud-native services.

• Familiarity with contemporary software engineering practices, CI/CD pipelines, and automated testing methods.

• Practical experience in implementing RAG architectures, vector search, document ingestion, LLM integrations, prompt engineering, context engineering, evaluation frameworks, testing harnesses, and agent performance measurement methodologies in enterprise settings.

• Experience in developing agentic AI solutions using Claude or similar large language models, including tool utilization, 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.

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

• Experience 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.

• Background in supporting healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or other highly regulated sectors.

• Bachelor’s degree from an accredited institution or equivalent professional experience (e.g., high school diploma plus 4 years of 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.

• Additional resources supporting physical, emotional, and financial well-being.

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