Senior AI Engineer

Verizon

. Execute Verizon's transition to a modern, agile pod model as a Senior AI Engineer within a team of propensity modelers .

Posted 10/6/2026full-timeUnited StatesSenior💰 $101,000 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, deep learning, and predictive modeling, with a focus on building and optimizing propensity models. Proficient in utilizing cloud platforms and advanced statistical tools to drive customer insights and business performance.

Highest-signal resume keywords

Machine Learning ExpertiseDeep Learning AlgorithmsPython ProgrammingCloud Platforms (GCP, AWS, Azure)Propensity Model Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningStatistical ModelingFeature EngineeringPropensity ModelingTransformersNatural Language Processing (NLP)PythonRSQL

Soft Skills

Technical GuidanceMentorshipCollaborationPresentation Skills

Tools & Technologies

PyTorchScikit-learnGoogle ADKLangChainBigQueryCloud RunVertex AIMLOps Tools

Certifications & Qualifications

Bachelor's DegreeMaster's Degree (Preferred)

Industry Keywords

Agentic AICustomer LifecycleChurn PredictionLead ScoringMulti-Agent OrchestrationRetrieval-Augmented Generation (RAG)

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Execute Verizon's transition to a modern, agile pod model as a Senior AI Engineer within a team of propensity modelers
Provide advanced machine learning support at critical customer lifecycle touchpoints and high-impact trigger events
Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions
Build, train, and deploy complex propensity models to predict customer behaviors, churn risk, and lifecycle triggers
Manage end-to-end model development pipelines, from advanced feature engineering through production deployment and monitoring
Serve as a subject matter expert on agentic development, machine learning, and predictive modeling
Provide technical guidance and mentorship to junior data scientists
Own the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance
Present model insights, performance metrics, and strategic recommendations to senior leadership and cross-functional business partners
Empower marketers, optimize customer journeys, and reduce churn across critical customer segments

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 working on high-priority or high-visibility technical initiatives within a corporate setting
Knowledge of LLM agent architecture, including Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation (RAG), MCP, and A2A protocols
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction
Strong expertise in machine learning and deep learning algorithms, including Transformers, transfer learning, and NLP
Expertise using PyTorch and scikit-learn packages
Preferred: Master's degree
Experience with RAG, ONNX-based embeddings, vector databases, and semantic search
Knowledge of cloud-scale data engineering, including BigQuery pipelines and GCP services such as Cloud Run and Vertex AI
Experience with cloud platforms such as GCP, AWS, or Azure and production MLOps tools for tracking and maintaining model workflows
Experience building, evaluating, and deploying end-to-end propensity models such as likelihood-to-buy, churn prediction, lead scoring, and cross-sell

Benefits

Comp & perks

Medical, dental, and vision benefits
Short- and long-term disability insurance
Basic and 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
Premium pay opportunities such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with service
Other incentives
Hybrid work arrangement with work from home and a minimum of three days per week in the office