Agentic AI Engineer

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world.

Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

We are seeking an Agentic AI Engineer to architect and implement autonomous, multi-agent workflows that go beyond static text generation. You will be responsible for building reliable agentic systems that interface with enterprise databases, execute real-world APIs, manage long-term state, and operate safely within strict performance and governance guardrails.

You will be responsible for the following but not limited to:
Agent Architecture & Orchestration:
Design stateful, multi-step agentic workflows using reasoning frameworks (e.g., ReAct, Plan-and-Solve, Reflection).Tool & API Integration:
Build reliable execution layers connecting LLMs to external systems via REST APIs, database connectors, and protocol standards like Model Context Protocol (MCP).Context & Memory Management:
Implement short-term and long-term memory architectures, state persistency, context window optimization, and hybrid RAG retrieval layers.

Evaluation & Guardrails:
Establish offline test sets ("golden sets") and real-time observability pipelines (using LLM-as-a-judge, trace analysis, and latency/cost monitoring) to prevent hallucinations, infinite loops, and unwanted drift.

Production Deployment:
Containerize and deploy multi-agent microservices using scalable async patterns, distributed queues, and fallback mechanisms.

What we’re looking for...You thrive on creating smart, customer-centric solutions that simplify user interactions and deliver immediate answers. Your expertise allows you to build secure, scalable AI frameworks using established software engineering practices, ensuring smooth integration with downstream enterprise tools. As a trusted engineer,  teams rely on you to navigate challenging obstacles in NLP, AI integration, and search relevance. By combining deep technical proficiency in AI with an analytical, collaborative mindset, you will directly enhance our user journey.

You’ll need to have:

Bachelor’s degree or four or more years of work experience.

Four or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.

Experience building Multi-Agent Systems with complex delegation models (human-in-the-loop escalation paths).Hands-on experience developing enterprise-grade agentic workflows, multi-agent topologies, and task orchestration pipelines using platforms such as Lang Graph, Google ADK / CES, Sierra, Decagon, or similar

Experience with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG) architectures, and generative AI guardrails.

Even better if you have one or more of the following:

Bachelor’s Degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field.

Experience in programming in modern languages (Python, Java,  NodeJS)  for building custom fulfillment webhooks, microservices, and backend APIs.Experience implementing Vertex AI Search / Enterprise Search, grounding models, custom data store connectors, and tuning search relevance and rankings.

Experience integrating Google AI solutions with non-Google enterprise…