Senior Agentic AI Engineer — Architect of Autonomous Agents

Verizon; New Jersey; On-site; USD 140,000 - 230,000; Full time

Job summary

Verizon is seeking a Senior Agentic AI Engineer to lead the architecture and deployment of multi-agent systems that reason, plan, and act across complex business domains. You will advance enterprise-grade AI agents, integrate LLMs via APIs, and implement retrieval-augmented generation and memory architectures.

You've moved beyond model building into end-to-end agentic systems, with data science and ML foundations, and can articulate autonomous agent value to senior leaders and cross-functional

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.

Job description

Verizon is seeking a Senior Agentic AI Engineer to lead the architecture and deployment of multi-agent systems that reason, plan, and act across complex business domains. You will advance enterprise-grade AI agents, integrate LLMs via APIs, and implement retrieval-augmented generation and memory architectures.

You've moved beyond model building into end-to-end agentic systems, with data science and ML foundations, and can articulate autonomous agent value to senior leaders and cross-functional