Job description

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 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. 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 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). If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From 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. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101,000.00 - $194,000.00.

Requirements

Must-haves

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.
Production Deployment: Containerize and deploy multi-agent microservices using scalable async patterns, distributed queues, and fallback mechanisms.
What we’re looking for...
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.
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 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).
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be working
Scheduled Weekly Hours 40
Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Nice-to-haves

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Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness