Agentic AI Engineer

Verizon is seeking an Agentic AI Engineer to architect and implement reliable autonomous, multi-agent workflows. The role focuses on integrating agents with enterprise systems, managing context and memory, establishing evaluation and safety guardrails, and deploying agentic services in production.

Responsibilities

• **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

Preferred

• 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 architectures via REST/SOAP APIs, pub/sub messaging, and webhook integrations
• Knowledge of contact center integrations (telephony adapters, CRM platforms like Salesforce/Genesys, and live agent hand-off protocols)
• Computer Science
• Computer Engineering
• Artificial Intelligence
• Python
• Java
• Node.js
• Webhook Development
• Microservices
• Backend API Development
• Vertex AI Search
• Enterprise Search
• Model Grounding
• Custom Data Store Connectors
• Search Relevance Tuning
• Search Ranking Optimization
• Google AI Integration
• Enterprise Architecture Integration
• REST APIs
• SOAP APIs
• Pub/Sub Messaging
• Webhook Integration
• Contact Center Integration
• Telephony Adapters
• Salesforce
• Genesys
• Live Agent Handoff Protocols

Benefits

• Hybrid work arrangement: working from home and a minimum of three days per week in the office, with the defined work location set by the manager.
• Health and wellness benefit options including medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
• Matched 401(k) savings plan.
• Up to 8 company paid holidays per year.
• Up to 6 personal days per year.
• Paid parental leave.
• Adoption assistance.
• Tuition assistance.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.
• Depending on the role, employees have the opportunity to receive premium pay such as overtime, shift differential, holiday pay, allowances, etc.
• Incentive-based compensation with the potential to earn more.
• For part-timers, coverage will vary and employees may be eligible for some of these benefits depending on individual circumstances.

Company

• Wireless, internet, TV, and phone telecommunications services
• New York, New York, USA
• https://www.verizon.com/
• Founded in 1983
• 10001+ employees

Qualifications

• 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 **LangGraph**, **Google ADK / CES**, **Sierra**, **Decagon**, or similar
• Experience with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG) architectures, and generative AI guardrails
• 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 architectures via REST/SOAP APIs, pub/sub messaging, and webhook integrations
• Knowledge of contact center integrations (telephony adapters, CRM platforms like Salesforce/Genesys, and live agent hand-off protocols)
• 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.

Required skills

• , Multi-Agent Systems, LangGraph, Google ADK / CES, Sierra, Decagon, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI Guardrails, Java, Node.js

Experience

• 4+ years