Senior Autonomous AI Engineer: Multi-Agent Systems

Verizon; Irving (TX); Hybrid; USD 101,000 - 194,000; Full time

Job summary

Verizon is seeking a Senior Agentic AI Engineer in a hybrid role based in Irving, TX. You will architect and deploy multi-agent AI systems that reason, plan, and act, integrating LLMs with enterprise tools and ensuring secure, scalable operations.

You will lead the lifecycle from design to production, implementing RAG, memory architectures, and observability to deliver measurable business impact for Verizon’s AI initiatives.

Qualifications

• Bachelor’s degree or 4+ years of relevant work experience.
• 4+ years of AI/ML experience with Generative AI, LLMs, and autonomous agents.
• 4+ years building analytical or AI solutions for complex business problems.
• Experience with multi-agent orchestration frameworks and MCP for enterprise integration.

Responsibilities

• Architect and deploy scalable multi-agent AI systems with agent workflows and delegation.
• Integrate LLMs with enterprise systems via APIs and the Model Context Protocol (MCP).
• Operate enterprise Agent Factory pipelines for autonomous workflows.
• Design retrieval-augmented generation (RAG) systems using ONNX embeddings and vector databases.
• Manage agent memory and state across short-, mid-, and long-term contexts.
• Own full agent lifecycle: training, deployment, monitoring.
• Establish security guardrails and token-based agent identities.
• Develop propensity models and forecasting for agent decision-making.
• Translate AI outputs into operational strategy for leadership.
• Perform AI-augmented analytics and model validation.

Skills

LangChain

LangGraph

LLM orchestration

A2A protocols

Python

SQL

MCP

Vector databases

Education

Bachelor’s degree or 4+ years experience

Master’s degree (preferred)

Tools

BigQuery

Vertex AI

Cloud Run

Pinecone

Weaviate

pgvector

Job description

Verizon is seeking a Senior Agentic AI Engineer in a hybrid role based in Irving, TX. You will architect and deploy multi-agent AI systems that reason, plan, and act, integrating LLMs with enterprise tools and ensuring secure, scalable operations.

You will lead the lifecycle from design to production, implementing RAG, memory architectures, and observability to deliver measurable business impact for Verizon’s AI initiatives.