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CVS Health

Senior Agentic AI Solutions Engineer

CVS Health

. Design, develop, and deploy production-grade agentic AI and intelligent automation solutions using ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, and Anthropic Claude .

Posted 10/28/2026full-timeRemote • Connecticut • United StatesSenior💰 $101,970 - $203,940 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and deploying AI and intelligent automation solutions, with a strong focus on cloud-native architectures, security, and operational reliability. Proven ability to lead full solution lifecycles and provide technical mentorship while collaborating across diverse teams.

Highest-signal resume keywords
AI/ML DevelopmentCloud-Native Systems DesignPython Application DevelopmentAgentic AI Solutions DeliveryAI Governance and Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/MLIntelligent AutomationCloud-Native ServicesPythonAPIsMicroservicesRAG ArchitecturesVector SearchDocument IngestionLarge Language Model Integration
Soft Skills
Technical MentorshipCollaboration
Tools & Technologies
ServiceNowDatabricksGoogle Vertex AIAzure AI FoundryAnthropic ClaudeFastAPIDockerPytestSQLETL Pipelines
Industry Keywords
HealthcarePharmacyInsuranceCybersecurityAIOpsSecOpsRegulated Enterprise EnvironmentsMLOpsLLMOpsCI/CD

Tech Stack

Tools & technologies
AzureCloudCyber SecurityDockerETLMicroservicesPythonServiceNowSQL

About the role

Key responsibilities & impact
  • 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 use cases, including incident triage, alert correlation, workflow orchestration, and operational decision support
  • Lead the full solution lifecycle from prototype through production deployment and continuous optimization
  • Make architectural decisions and provide technical trade-off recommendations
  • 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

Requirements

What you’ll need
  • 5+ years developing software, AI/ML, intelligent automation, or full-stack applications with ownership of complex enterprise solutions
  • 5+ years designing scalable cloud-native systems and applying AI governance, security, privacy, access management, resiliency, and operational reliability best practices
  • 4+ years delivering production-ready automation, agentic AI, or generative AI solutions beyond proof-of-concepts and prototype environments
  • 3+ years building Python-based applications, APIs, microservices, and cloud-native services using modern software engineering practices
  • 2+ years 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
  • Alternatively, high school diploma plus 4 years of relevant experience
  • Experience with ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, Anthropic Claude, Python, APIs, and cloud-native services
  • Preferred: experience with Claude or similar LLMs, tool use, function calling, agent orchestration, and multi-step reasoning
  • Preferred: knowledge of RAG architectures, embedding models, vector databases such as pgvector, retrieval optimization, reranking, and semantic search frameworks
  • Preferred: familiarity with FastAPI, Docker, pytest, Docling or Unstructured, SQL, and ETL pipelines
  • Preferred: experience in healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or regulated enterprise environments
  • Preferred: exposure to MLOps, LLMOps, CI/CD, Cloud SQL, Cloud Functions, IAM, observability platforms, and production AI operations

Benefits

Comp & perks
  • CVS Health bonus, commission or short-term incentive program in addition to base pay
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Other resources supporting physical, emotional, and financial well-being, based on eligibility
  • Diversity, inclusion and belonging workplace culture
  • Support for people with military experience and military spouses