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Verizon

Principal AI Engineer

Verizon

Lead AI Engineer managing advanced propensity models and supporting data-driven marketing strategies at Verizon. Collaborating with cross-functional teams to drive customer engagement and optimize retention.

Posted 7/22/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesLead💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and implementing scalable AI/ML systems, with a strong focus on agentic architectures and large language models. Proven leadership in technical strategy and cross-functional collaboration to drive innovative customer experience solutions.

Highest-signal resume keywords
AI/ML System DesignLarge Language Models (LLMs)Cloud Platforms (GCP, AWS, Azure)API Design and DevelopmentAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML Pipeline DevelopmentAgentic Architecture DesignProduction System ImplementationData Privacy ComplianceTechnical Roadmap Development
Soft Skills
Organizational SkillsLeadershipCollaborationMentoring
Tools & Technologies
LangChainLlamaIndexACSSOptixVerint
Certifications & Qualifications
Bachelor's DegreeMaster's DegreePhD in Computer Science or Data Science
Industry Keywords
Customer ExperienceDigital ChannelsSales EcosystemsCognitive FrameworksPerformance Management Tools

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Lead the technical vision, architectural design, and execution of cutting-edge agentic AI/ML solutions within the Verizon Consumer Group (VCG) AI team
  • Shape the future of customer experience by building intelligent, autonomous agents that power digital channels, sales, and customer success ecosystems
  • Translate long-term strategy into robust, scalable, and secure production systems with cross-functional leadership
  • Drive technical strategy, research, and application of advanced agentic AI, large language models (LLMs), and cognitive frameworks
  • Design and implement production-grade, highly scalable AI/ML pipelines and agent architectures
  • Collaborate with Global Technology Architecture, Security, and Legal teams to ensure data privacy and compliance
  • Partner with Customer Service Operations and VCG Strategy teams to identify high-impact business applications
  • Develop and maintain a technical roadmap for agentic systems across VCG
  • Mentor engineers and establish engineering best practices

Requirements

What you’ll need
  • Bachelor’s degree or four or more years of work experience
  • Six or more years of relevant experience required
  • Three or more years of experience designing, building, and deploying production AI/ML systems at scale
  • Experience with software development methodologies (e.g., Agile)
  • Willingness to travel up to approximately 25% of the time
  • Even better if you have: A Master's degree or PhD in Computer Science, Data Science, or a related quantitative field
  • Knowledge of modern LLM application frameworks (e.g., LangChain, LlamaIndex), agentic architectures, and vector databases
  • Knowledge of systems and tools, including ACSS, Optix, POS, CTI, WorkHub, performance management tools, existing AI integrations, and Verint
  • Experience with API design and development
  • Experience with cloud platforms (e.g., GCP, AWS, Azure) and cloud-native technologies
  • Proven ability to lead technical planning, prioritization, and large-scale projects
  • Strong organizational skills and the ability to thrive in a dynamic environment, meet deadlines, and manage multiple projects simultaneously.

Benefits

Comp & perks
  • 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
  • other incentives