Principal AI Engineer

Verizon

. Build, optimize, and deploy state-of-the-art agentic AI/ML models and systems within the Verizon Consumer Group AI team .

Posted 10/5/2026full-timeUnited StatesLead💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, optimizing, and deploying AI/ML models and systems, with a strong focus on customer success and digital agent solutions. Proficient in Agile methodologies and experienced in integrating AI frameworks with cloud-native technologies and enterprise systems.

Highest-signal resume keywords

AI/ML Model DevelopmentLLM Application IntegrationCloud-Native TechnologiesAgile Software DevelopmentAPI Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Model BuildingModel TuningEnd-to-End AI AgentsRAG ArchitecturesOrchestration FrameworksTechnical ResearchRapid PrototypingData IntegrationPerformance ManagementTechnical Documentation

Soft Skills

Strong Prioritization SkillsProject Management

Tools & Technologies

LangChainLangGraphAutoGenGoogle ADKGoogle Cloud PlatformVerint

Industry Keywords

Agentic AICustomer Success SolutionsDigital Agent SolutionsTechnical RoadmapsCode Reviews

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Build, optimize, and deploy state-of-the-art agentic AI/ML models and systems within the Verizon Consumer Group AI team
Implement next-generation customer success, sales, and digital agent solutions
Develop, test, and scale agentic AI/ML solutions, specialized workflows, and LLM-powered systems
Integrate AI agent frameworks with customer success, digital, and retail channel technologies
Collaborate with product managers and engineering teams on production-grade technical roadmaps
Participate in code reviews, technical design sessions, and red-teaming exercises
Optimize model inference pipelines, API endpoints, and data integration layers
Conduct technical research and rapid prototyping of emerging AI frameworks
Document technical specifications and create materials showcasing pilot performance results

Requirements

What you’ll need

Bachelor’s degree or four or more years of work experience
Six or more years of relevant experience, demonstrated through work and/or military experience or specialized training
One or more years of hands-on experience building, tuning, or integrating AI/ML models and LLM applications
Experience within Agile software development methodologies
Degree in Computer Science, Engineering, or related field preferred
Experience developing end-to-end AI agents and RAG architectures using orchestration frameworks such as LangChain, LangGraph, AutoGen, or Google ADK preferred
Hands-on experience with cloud-native technologies, API design, and Google Cloud Platform (GCP) preferred
Familiarity with enterprise AI integrations and performance management platforms such as Verint preferred
Strong prioritization skills and experience managing multiple projects in fast-paced environments preferred

Benefits

Comp & perks

Medical, dental, and vision insurance
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
Premium pay opportunities, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service