Senior AI Engineer

Verizon

. Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions .

Posted 11/12/2026full-timeUnited StatesSenior💰 $101,000 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and optimizing machine learning and deep learning solutions, with a strong focus on predictive modeling and customer behavior analysis. Proficient in managing end-to-end model lifecycles and providing mentorship to junior data scientists while delivering actionable insights to senior leadership.

Highest-signal resume keywords

Machine Learning AlgorithmsDeep Learning ExpertiseModel Development PipelinesPython ProgrammingCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningPredictive ModelingA/B TestingStatistical ModelingFeature EngineeringData ExtractionModel OptimizationMicrosegmentationHyper-Personalization

Soft Skills

Technical GuidanceMentorshipCommunicationCollaboration

Tools & Technologies

PyTorchScikit-LearnSQLGCPAWSAzureMLOps ToolsBigQueryVertex AILangChain

Industry Keywords

Agentic AILLMCustomer BehaviorChurn RiskLifecycle TriggersProbability CalibrationTime-Based ValidationMulti-Agent OrchestrationSemantic SearchVector Databases

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions
Build, train, and deploy propensity models predicting customer behaviors, churn risk, and lifecycle triggers
Consolidate overlapping propensity models into shared customer-state and unified models
Manage end-to-end model development pipelines, from feature engineering through production deployment and monitoring
Serve as a subject matter expert in agentic development, machine learning, and predictive modeling
Provide technical guidance and mentorship to junior data scientists
Own model lifecycles 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
Support Verizon's transition to a modern, agile pod model
Enable marketers, optimize customer journeys, and reduce churn through microsegmentation and hyper-personalization

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
Experience designing and measuring A/B tests or uplift models for targeting
Strong expertise in machine learning/deep learning algorithms, including transformers, transfer learning, and NLP
Expertise using PyTorch and scikit-learn
Knowledge of probability calibration and time-based validation
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction
Experience with cloud platforms such as GCP, AWS, or Azure
Experience with production MLOps tools for tracking and maintaining model workflows
Preferred knowledge of LLM agent architecture, Google ADK, LangChain/LangGraph, multi-agent orchestration, RAG, MCP, A2A protocols, ONNX-based embeddings, vector databases, and semantic search
Preferred knowledge of cloud-scale data engineering, BigQuery pipelines, GCP Cloud Run, and Vertex AI

Benefits

Comp & perks

Medical, dental, and vision benefits
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
Potential premium pay, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Hybrid work arrangement with work from home and a minimum of three days per week in the office