Lead Agentic AI Solutions Engineer

Quick Facts

• Role: Lead Agentic AI Solutions Engineer
• Focus: Building and operationalizing enterprise-scale agentic AI and intelligent automation solutions

Description

This role leads the end-to-end development lifecycle for production-ready agentic AI systems, from architecture and backend services through AI orchestration, data integration, deployment, and operational support. You will architect and implement multi-agent solutions and RAG/GraphRAG-based capabilities for enterprise IT Operations and Cybersecurity use cases, ensuring security, reliability, and responsible AI practices. You will also provide technical leadership by mentoring engineers and helping establish engineering standards and best practices.

Responsibilities

• Design, develop, and deploy production-grade agentic AI and intelligent automation solutions using enterprise platforms (ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, Anthropic Claude).
• Deliver AI-powered capabilities for IT Operations and Cybersecurity (incident triage, alert correlation, workflow orchestration, operational decision support, intelligent remediation).
• Build 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 to improve AI accuracy and decision-making.
• Lead the full solution lifecycle: architecture, prototyping, production deployment, monitoring, optimization, and continuous improvement.
• Implement secure-by-design architectures with AI security controls, privacy protections, prompt injection safeguards, resiliency patterns, failover mechanisms, and responsible AI practices.
• Collaborate across Architecture, Cybersecurity, Platform Engineering, Product, and Operations; mentor interns and contractor resources as a technical lead.

Requirements

• 7+ years developing software, AI/ML, intelligent automation, or full-stack applications with 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 experience delivering production-ready automation, generative AI, or agentic AI solutions beyond proof-of-concept, including multi-agent systems, workflow orchestration, or intelligent automation platforms.
• 3+ years building Python-based applications, APIs, microservices, and cloud-native services using modern software engineering practices, CI/CD pipelines, and automated testing.
• Hands-on experience implementing RAG architectures, vector search, document ingestion, LLM integrations, prompt and context engineering, evaluation frameworks, testing harnesses, and agent performance measurement.
• Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience).

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources.
• Eligible for CVS Health bonus/commission/short-term incentive program and equity award program.