AI Engineer - GenAI and Agentic AI

Verizon•Alpharetta, GA

1d•$81,000 - $155,000•Hybrid

About The Position

Verizon’s Marketing Technology Group is hiring an AI Engineer to build and deploy Generative AI and Agentic AI solutions for Verizon Business Group. The role focuses on production-grade AI systems that improve sales productivity, customer experience, service operations, and operational efficiency. Working with AI engineers, product owners, business stakeholders, and senior team members, the engineer will develop LLM-powered agents and multi-agent workflows, RAG pipelines, tool and API integrations, and prompts grounded in enterprise data. The position also contributes to evaluating agent accuracy, response quality, and latency; applying evaluation methods, guardrails, and monitoring; and supporting deployment of agents and models in real-time and batch environments. The engineer will track performance, cost, and drift, while researching and testing new LLMs, agent frameworks, and GenAI methods. This is a hybrid role, with a defined work location that includes working from home and at least three days per week in the office. Scheduled hours are 40 per week.

Requirements

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 such as GCP, AWS, or Azure.
Quantitative skills in math, statistics, or related fields.
Strong analytical instincts and a passion for solving business problems with Generative AI.
Ability to learn quickly, take ownership of assigned work, communicate results clearly, and collaborate with global, cross-functional engineering teams in a fast-paced environment.

Nice To Haves

Master's degree or Ph.D. in a quantitative field such as 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 such as 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.

Responsibilities

Design, build, and deploy LLM-powered agents and multi-agent workflows that automate business tasks, with guidance from senior team members.
Build retrieval-augmented generation (RAG) pipelines, tool and API integrations, and prompts that ground agents in enterprise data.
Measure agent accuracy, response quality, and latency; apply evaluation methods, guardrails, and monitoring to support production reliability.
Help deploy agents and models in real-time and batch environments, and track performance, cost, and drift.
Work with business stakeholders and senior engineers to understand requirements and turn them into working agent solutions.
Research and test new LLMs, agent frameworks, and Generative AI methods, and bring promising ideas to the team.

Benefits

Medical, dental, and vision benefit options.
Short- and long-term disability insurance.
Basic and supplemental life insurance and AD&D insurance.
Identity theft protection.
Pet insurance and group home and auto insurance.
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.
Tuition assistance.
Potential premium pay, including 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.
Incentive-based compensation with potential to earn more.