Senior Agentic AI Engineer

Verizon is seeking a Senior Agentic AI Engineer to support its transformation toward centralized intelligence and enterprise-grade AI agents. The role focuses on architecting and deploying multi-agent systems, integrating LLMs with enterprise platforms, building RAG and Agent Factory pipelines, managing model lifecycles and security guardrails, and translating AI outputs into business strategies.

Responsibilities:

• Architecting and deploying scalable multi-agent AI systems—designing agent workflows, communication protocols (A2A), and task delegation hierarchies for fleets of cooperative AI agents
• Integrating LLMs with enterprise systems via APIs, function calling, and the Model Context Protocol (MCP) to enable agents that can reason, plan, use tools, and act autonomously
• Building and operating enterprise Agent Factory pipelines—moving from reactive, episodic analytics to autonomous, continuously executing intelligent workflows
• Designing and implementing retrieval-augmented generation (RAG) systems with ONNX-based embeddings and vector databases to power context-aware, hyper-personalized outputs at scale
• Managing agent memory and state architecture—implementing short-term, medium-term, and long-term memory using tools like LangGraph for reliable multi-step task execution
• Owning the full agent and model lifecycle: feature engineering, training, production deployment (Cloud Run, Vertex AI), and continuous monitoring with observability tooling
• Establishing security guardrails, permission boundaries, short-lived agent identity tokens, and safety constraints for production agentic systems
• Developing and maintaining propensity models, classification systems, and forecasting solutions that feed downstream agent decision-making
• Translating complex agentic AI outputs into clear operational strategies and presenting findings to senior leadership and cross-functional business partners
• Performing advanced AI-augmented analytics and generative AI model validation to ensure accuracy, reliability, and measurable business performance