AI Engineer - GenAI and Agentic AI

Verizon; Irving (TX); Hybrid; USD 81,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision

Matched 401(k) savings plan

Up to 8 company paid holidays per year

Up to 6 personal days per year

Paid parental leave

Tuition assistance

Job summary

Verizon is seeking an AI Engineer to design, build, and deploy LLM-powered agents and multi-agent workflows that automate business tasks across the Verizon Business Group.

You will create retrieval-augmented generation pipelines, integrate tools and APIs, evaluate accuracy and latency, and collaborate with stakeholders to translate requirements into production-grade GenAI solutions.

Qualifications

• Bachelor’s degree or 4+ years of relevant work experience.
• ≥2 years hands-on ML/AI engineering experience including Generative AI or LLM projects.
• ≥2 years Python and SQL experience.
• Experience building LLM applications with prompting, RAG, and tool calls.
• Experience in cloud environments (GCP/AWS/Azure).
• Strong math/stats background.

Responsibilities

• Design, build, and deploy LLM-powered agents and multi-agent workflows.
• Create retrieval-augmented generation pipelines with tool and API integrations.
• Evaluate agent accuracy, response quality, and latency with guardrails and monitoring.
• Support deployment in real-time and batch environments; track performance and drift.
• Collaborate with stakeholders to translate requirements into production-grade GenAI solutions.
• Research and test new LLMs, agent frameworks, and GenAI methods.

Skills

Python

SQL

Machine Learning

Generative AI

LLM projects

Cloud computing

Education

Bachelor's degree

Tools

LangGraph

LangChain

Google ADK

MCP

RAG

LLMs

CrewAI

AutoGen

GCP

AWS

Azure

pgvector

Pinecone

Elasticsearch

Embedding models

Job description

Verizon is hiring an AI Engineer to build production-grade GenAI and agentic AI solutions for the Verizon Business Group.

Responsibilities

• Design, build, and deploy LLM-powered agents and multi-agent workflows that automate business tasks, with guidance from senior team members.
• Create retrieval-augmented generation (RAG) pipelines, plus tool and API integrations and prompts that ground agents in enterprise data.
• Evaluate agent accuracy, response quality, and latency; apply evaluation methods, guardrails, and monitoring to keep production systems reliable.
• Support deployment of agents and models in real-time and batch environments; track performance, cost, and drift.
• Collaborate with business stakeholders and senior engineers to translate requirements into working agent solutions.
• Research and test new LLMs, agent frameworks, and GenAI methods, and bring promising approaches to the team.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Four or more years of relevant work experience.
• Two or more years hands‑on experience in machine learning, data science, or AI engineering, including Generative AI or LLM‑based projects.
• Two or more years experience with Python and SQL.
• Experience building LLM applications, including prompt engineering, RAG, and tool or function calling.
• Experience working in cloud computing environments (e.g., GCP, AWS, or Azure).
• Quantitative skills in math, statistics, or related fields.

Technologies

• Python, SQL
• LangGraph, LangChain
• Google ADK, MCP
• RAG, LLMs
• CrewAI, AutoGen
• GCP, AWS, Azure
• Vector databases: pgvector, Pinecone, Elasticsearch
• Embedding models

Location and Schedule

• Location: Irving, TX (hybrid)
• Work model: defined work location with working from home and minimum of three days per week in the office, set by your manager
• Scheduled weekly hours: 40
• Compliance: employees maintain compliance with hybrid work policies

Compensation

• Salary range: USD 81,000 - 155,000 per year (based on location and confirmed skills/experience)

  Benefits

  • Medical, dental, vision
  • Short and long term disability
  • Basic life insurance
  • Supplemental life insurance
  • AD&D insurance
  • Identity theft protection
  • Pet insurance
  • 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
  • Compensation potential via premium pay such as overtime, shift differential, holiday pay, allowances, etc.
  • Up to 15 days of vacation per year for newly hired employees (grows with additional service)
  • For part‑timers, coverage varies depending on individual circumstances

  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: LangChain, LangGraph, CrewAI, AutoGen, or Google ADK
  • Familiarity with 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

  Equal Employment Opportunity: Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability, or other legally protected characteristics.