Principal AI Engineer

Verizon

Lead AI Engineer driving machine learning solutions for customer segmentation at Verizon. Manage complex models and mentor other engineers in this hybrid role.

Posted 7/31/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesLead💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing, deploying, and optimizing complex machine learning models, with a strong focus on customer retention strategies and advanced statistical modeling. Proficient in managing model lifecycles and collaborating with stakeholders to translate analytical insights into actionable strategies.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingStatistical ModelingCloud Platforms (GCP, AWS, Azure)Customer Retention Strategies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPropensity ModelingAdvanced Feature EngineeringA/B TestingSQLRData ExtractionModel OptimizationModel MonitoringLLM Agent Architecture

Soft Skills

Communication SkillsPresentation SkillsMentoring

Tools & Technologies

MLOps ToolsVector DatabasesSemantic SearchRetrieval-Augmented Generation (RAG)ONNX-Based Embeddings

Certifications & Qualifications

Bachelor's DegreeMaster's Degree in Data Science or Related Field

Industry Keywords

Churn PredictionCustomer Lifetime Value (CLV) ModelingHigh-Visibility Technical Initiatives

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Serve as a lead individual contributor within team of propensity modelers.
Manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.
Collaborate closely with high-visibility base management pods and senior marketing stakeholders.
Own the lifecycle of models deployed in high-impact areas.
Translate advanced analytical outputs into actionable microsegmentation strategies.
Serve as a technical mentor and advisor to senior and mid-level AI/ML engineers.

Requirements

What you’ll need

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required.
Four or more years of experience independently developing, deploying, and optimizing complex machine learning or propensity models in a production environment.
Experience working on high-priority or high-visibility technical initiatives within a corporate setting.
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
Master’s degree in Data Science, Computer Science, Statistics, or a highly quantitative field is preferred.
Knowledge of LLM agent architecture.
Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and semantic search.
Strong domain expertise in customer retention strategies, churn prediction, or customer lifetime value (CLV) modeling.
Experience designing and evaluating A/B tests for models in production.
Experience with cloud platforms (e.g., GCP, AWS, or Azure) and production MLOps tools for tracking and maintaining model workflows.
Excellent communication and presentation skills.

Benefits

Comp & perks

health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and 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
15 days of vacation per year, which grows with additional service