AI Engineer - GenAI and Agentic AI

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.

Why build AI at Verizon?

Most early-career AI roles keep builders stuck on isolated prototypes, internal chatbots, or low-stakes demos that never make it past a proof-of-concept. In Verizon's Marketing Technology Group, you'll build production-grade agentic AI systems that directly power how a $130B+ enterprise sells, serves, and operates. Working alongside senior AI engineers and product owners, you'll design and deploy multi-agent workflows, RAG pipelines, and tool-integrated LLMs using modern stacks (LangGraph, Google ADK, MCP) that elevate sales productivity and service operations for thousands of employees and millions of customers. Backed by Verizon's multi-year investment to industrialize AI-and deep partnerships with hyperscalers like Google Cloud and AWS-this is your opportunity to master production guardrails, latency optimization, and real-world agent orchestration while accelerating your growth as an AI engineer.

What you'll be doing...

You will help drive profitable growth and business innovation by building Generative AI and Agentic AI solutions for Verizon Business Group. Working with our AI engineers and product owners, you will build and deploy AI agents that improve sales productivity, customer experience, service operations and operational efficiency.

At Verizon, we are on a multi-year journey to industrialize our AI Science capabilities, fueling decisions and processes across our $130B+ enterprise. With our nationwide 5G leadership, you will help build and scale AI solutions that serve thousands of employees and millions of customers.

• Build AI Agents: Design, build and deploy LLM-powered agents and multi-agent workflows that automate business tasks, with guidance from senior team members.

• Develop GenAI Capabilities: Build retrieval-augmented generation (RAG) pipelines, tool and API integrations, and prompts that ground agents in enterprise data.

• Evaluate & Improve Quality: Measure agent accuracy, response quality and latency, and apply evaluation methods, guardrails and monitoring so agents stay reliable in production.

• Deploy & Monitor in Production: Help deploy agents and models in real-time and batch environments, and track their performance, cost and drift.

• Partner with the Business: Work with business stakeholders and senior engineers to understand requirements and turn them into working agent solutions.

• Learn & Innovate: Research and test new LLMs, agent frameworks and GenAI methods, and bring promising ideas to the team.

What we're looking for...

You bring strong analytical instincts and a passion for solving business problems with Generative AI. You learn quickly, take ownership of your assigned work, communicate your results clearly, and collaborate well with global, cross-functional engineering teams in a fast-paced environment.

You'll need to have...

• Bachelor's degree or four or more years of work experience

• Four or more years of relevant work experience

• Two or more years of hands-on experience in machine learning, data science or AI engineering, including Generative AI or LLM-based projects.

• Two or more years of experience with Python and SQL.

• Experience building applications with LLMs, including prompt engineering, RAG and tool or function calling.

• Experience with cloud computing environments (e.g., GCP, AWS or Azure).

• Experience in quantitative skills in math, statistics or related fields.

Even better if you also have...

• Master's degree or Ph.D. in a quantitative field (Computer Science, Data Science, Statistics, Math, Engineering or Economics).

• Experience building and deploying AI agents to production, including evaluation, guardrails and observability.

• Experience with vector databases (e.g., pgvector, Pinecone or Elasticsearch) and embedding models.

• Experience with at least one agent framework, such as LangChain, LangGraph, CrewAI, AutoGen or Google ADK.

• Familiarity with the Model Context Protocol (MCP) or multi-agent orchestration.

• Experience with traditional machine learning, deep learning and NLP.

• Ability to explain technical concepts and results clearly to non-technical audiences.

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.

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

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.