AI Engineer – GenAI, Agentic AI

Verizon

. Build and deploy LLM-powered agents and multi-agent workflows that automate business tasks .

Posted 11/12/2026full-timeUnited StatesMid-LevelSenior💰 $81,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying LLM-powered agents and multi-agent workflows, with a strong focus on Generative AI and machine learning applications. Proficient in Python, SQL, and cloud computing environments, while effectively collaborating with cross-functional teams to enhance business operations.

Highest-signal resume keywords

LLM Application DevelopmentGenerative AI SolutionsPython ProgrammingCloud Computing (GCP, AWS, Azure)Machine Learning Deployment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningData SciencePrompt EngineeringRAG PipelinesStatistical AnalysisNLPVector DatabasesEmbedding ModelsAgent FrameworksQuantitative Skills

Soft Skills

Analytical ThinkingProblem SolvingClear CommunicationCollaborationOwnership

Tools & Technologies

LangChainLangGraphCrewAIAutoGenGoogle ADK

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePh.D.

Industry Keywords

Generative AIAI EngineeringBusiness AutomationPerformance TrackingOperational Efficiency

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build and deploy LLM-powered agents and multi-agent workflows that automate business tasks
Build RAG pipelines, tool and API integrations, and prompts grounded in enterprise data
Measure agent accuracy, response quality, and latency
Apply evaluation methods, guardrails, and monitoring to maintain production reliability
Help deploy agents and models in real-time and batch environments
Track performance, cost, and model drift
Work with business stakeholders and senior engineers to understand requirements and deliver agent solutions
Research and test new LLMs, agent frameworks, and Generative AI methods
Build Generative AI and Agentic AI solutions for Verizon Business Group
Improve sales productivity, customer experience, service operations, and operational efficiency

Requirements

What you’ll need

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 passion for solving business problems with Generative AI
Ability to learn quickly and take ownership of assigned work
Ability to communicate results clearly
Ability to collaborate with global, cross-functional engineering teams
Master's degree or Ph.D. in a quantitative field is an additional qualification
Experience deploying AI agents to production, including evaluation, guardrails, and observability is an additional qualification
Experience with vector databases and embedding models is an additional qualification
Experience with an agent framework such as LangChain, LangGraph, CrewAI, AutoGen, or Google ADK is an additional qualification
Familiarity with MCP or multi-agent orchestration is an additional qualification
Experience with traditional machine learning, deep learning, and NLP is an additional qualification
Ability to explain technical concepts and results clearly to non-technical audiences is an additional qualification

Benefits

Comp & perks

Medical, dental, and vision coverage
Short- and long-term disability insurance
Basic life insurance
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
Potential premium pay, including overtime, shift differential, holiday pay, and allowances
Newly hired employees receive up to 15 days of vacation per year, increasing with additional service
Hybrid work arrangement with working from home and a minimum of three days per week in the office