Agentic AI Engineer

Verizon • Irving, TX

8d • $101,000 - $194,000 • Hybrid

About The Position

Verizon is seeking an Agentic AI Engineer to architect and implement autonomous, multi-agent workflows that go beyond static text generation. The role focuses on building reliable agentic systems that interface with enterprise databases, execute real-world APIs, manage long-term state, and operate within performance and governance guardrails.

The engineer will design stateful, multi-step agent workflows; integrate LLMs with external systems; implement memory and retrieval architectures; establish evaluation, observability, and safety controls; and deploy scalable multi-agent microservices. The role also calls for secure, scalable AI frameworks that integrate with enterprise tools and simplify customer interactions.

This is a hybrid role with a defined work location, including work from home and a minimum of three days per week in the office. The scheduled workweek is 40 hours. The annual salary range for the listed location(s), based on a full-time schedule, is $101,000 to $194,000. Compensation varies by location, skills, and experience, and the position has incentive-based earning potential.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Four or more years of relevant experience, demonstrated through work and/or military experience or specialized training.
• Experience building multi-agent systems with complex delegation models, including 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.

Nice To Haves

• Bachelor’s degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field.
• Experience programming in modern languages such as Python, Java, or NodeJS to build custom fulfillment webhooks, microservices, and backend APIs.
• Experience implementing Vertex AI Search or 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, including telephony adapters, CRM platforms such as Salesforce or Genesys, and live agent hand-off protocols.

Responsibilities

• Design stateful, multi-step agentic workflows using reasoning frameworks such as ReAct, Plan-and-Solve, and Reflection.
• Build reliable execution layers that connect LLMs to external systems through REST APIs, database connectors, and protocol standards such as Model Context Protocol (MCP).
• Implement short-term and long-term memory architectures, persistent state, context-window optimization, and hybrid RAG retrieval layers.
• Establish offline evaluation test sets and real-time observability pipelines using methods such as LLM-as-a-judge, trace analysis, and latency and cost monitoring.
• Prevent hallucinations, infinite loops, and unwanted model drift through evaluation and guardrails.
• Containerize and deploy multi-agent microservices using scalable asynchronous patterns, distributed queues, and fallback mechanisms.
• Build secure, scalable AI frameworks using established software engineering practices and integrate them with downstream enterprise tools.
• Develop smart, customer-centric solutions that simplify user interactions and deliver immediate answers.

Benefits

• Medical, dental, and vision benefits
• Short- and long-term disability insurance
• Basic and supplemental life insurance
• AD&D insurance
• Identity theft protection
• Pet insurance
• Group home and 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
• Other incentives
• Premium pay opportunities, such as overtime, shift differential, holiday pay, and allowances, depending on the role
• Up to 15 days of vacation per year for newly hired employees, increasing with additional service

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level