Senior Engineer Consultant – AI/ML Engineering

Verizon

Senior AI/ML Engineer developing propensity models for Verizon’s telecom customer lifecycle. Driving personalization, marketing optimization, and churn reduction through production machine learning.

Posted 8/12/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesSenior💰 $101,000 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying advanced propensity models, utilizing machine learning techniques and cloud-scale data engineering to optimize customer retention strategies. Proficient in translating complex analytical insights into actionable business recommendations for diverse stakeholders.

Highest-signal resume keywords

Propensity Model DevelopmentMachine Learning SupportCloud-Scale Data EngineeringPython, R, and SQL ProficiencyCustomer Retention Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced Feature EngineeringStatistical ModelingA/B Testing DesignModel Monitoring and ObservabilityData Extraction

Soft Skills

Excellent CommunicationPresentation Skills

Tools & Technologies

Google ADKLangChainBigQueryGCP Cloud RunVertex AI

Certifications & Qualifications

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

Industry Keywords

Churn PredictionCustomer Lifetime Value ModelingAgile Operating ModelsMulti-Agent OrchestrationRetrieval-Augmented Generation

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build, train, and deploy complex, high-priority propensity models predicting customer behaviors, churn risk, and lifecycle triggers
Manage end-to-end model development pipelines from advanced feature engineering through production deployment and monitoring
Collaborate with base management pods and senior marketing stakeholders to translate retention goals into data science solutions
Own the lifecycle of high-impact models, ensuring continuous optimization, accuracy, and measurable business performance
Translate analytical outputs into microsegmentation strategies for personalized customer experiences
Present model insights, performance metrics, and strategic recommendations to senior leadership and cross-functional business partners
Provide advanced machine learning support for Verizon’s transition to a modern, agile pod model
Support customer lifecycle and trigger-event initiatives to empower marketers, optimize customer journeys, and reduce churn

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Four or more years of relevant experience, demonstrated through work experience and/or military experience
Experience with high-priority or high-visibility technical initiatives in a corporate setting
Knowledge of LLM agent architecture, including Google ADK, LangChain/LangGraph, multi-agent orchestration, RAG, MCP, and A2A protocols
Experience with retrieval-augmented generation, ONNX-based embeddings, vector databases, and semantic search
Knowledge of cloud-scale data engineering, including BigQuery pipelines and GCP Cloud Run and Vertex AI
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction
Preferred: Master’s degree in Data Science, Computer Science, Statistics, or a highly quantitative field
Preferred: Domain expertise in customer retention, churn prediction, or customer lifetime value modeling
Preferred: Experience designing and evaluating A/B tests for production models
Preferred: Experience with production ML/LLM monitoring and observability tools such as OpenTelemetry, Arize Phoenix, or Galileo
Preferred: Experience with agile, pod-based operating models supporting marketing or customer experience teams
Preferred: Experience with cloud platforms such as GCP, AWS, or Azure and production MLOps tools
Preferred: Excellent communication and presentation skills for explaining predictive models to non-technical stakeholders

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
Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
Up to 15 days of vacation per year for newly hired employees, increasing with additional service