Senior Agentic AI Solutions Engineer

CVS Health • Work At Home-Connecticut, CT

2d • $101,970 - $203,940

About The Position

CVS Health is hiring a Senior Agentic AI Solutions Engineer for its AI/ML Solutions Delivery organization. This full-stack AI engineering role designs, develops, and deploys production-ready enterprise agentic AI and intelligent automation applications, combining modern software engineering with generative AI and agentic frameworks. The work uses 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 engineer owns the end-to-end development lifecycle, including application architecture, backend services, AI orchestration, data integration, deployment, and operational support. The role partners with Architecture, Cybersecurity, Platform Engineering, Product, and Operations teams to accelerate enterprise AI adoption while meeting standards for security, governance, performance, reliability, and responsible AI. Solutions support IT Operations and Cybersecurity use cases such as incident triage, alert correlation, workflow orchestration, and operational decision support.

This is a full-time position with 40 anticipated weekly hours. The stated base pay range is $101,970.00–$203,940.00, and the role is eligible for a CVS Health bonus, commission, or short-term incentive program. A comprehensive benefits package is available, subject to eligibility.

Requirements

• At least 5 years developing software, AI/ML, intelligent automation, or full-stack applications, with demonstrated ownership of complex enterprise solutions.
• At least 5 years designing scalable cloud-native systems and applying AI governance, security, privacy, access management, resiliency, and operational reliability best practices.
• At least 4 years delivering production-ready automation, agentic AI, or generative AI solutions beyond proof-of-concept and prototype environments.
• At least 3 years building Python-based applications, APIs, microservices, and cloud-native services using modern software engineering practices.
• At least 2 years of hands-on experience implementing retrieval-augmented generation (RAG), vector search, document ingestion, and large language model integration architectures.
• Bachelor’s degree from an accredited university or equivalent work experience; the stated equivalent is a 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, 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 data engineering practices including SQL and ETL pipelines.
• Experience in healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or other highly regulated enterprise environments, with a record of delivering results against business commitments and timelines.
• Exposure to MLOps, LLMOps, CI/CD pipelines, cloud services such as Cloud SQL, Cloud Functions, and IAM, observability platforms, and production AI operations.
• Ability to apply pragmatic technical judgment and select effective approaches, whether AI-driven or based on traditional automation.

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 use cases, including incident triage, alert correlation, workflow orchestration, and operational decision support.
• Lead solutions through the full lifecycle, from prototype through production deployment and continuous optimization; make architectural decisions and recommend technical trade-offs.
• Implement secure-by-design architectures with 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.
• Provide technical mentorship to interns and contractor resources.
• Own application architecture, backend services, AI orchestration, data integration, deployment, and operational support.

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

What This Job Offers

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