Senior AI Engineer

Verizon

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

Posted 10/28/2026full-timeUnited StatesSenior💰 $101,000 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing agentic AI and machine learning solutions, with a strong focus on predictive modeling and customer behavior analysis. Proficient in managing end-to-end model development pipelines and providing mentorship to junior data scientists.

Highest-signal resume keywords

Machine Learning/Deep Learning AlgorithmsPython, R, SQLLLM Agent ArchitectureCloud Platforms (GCP, AWS, Azure)End-to-End Propensity Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningPredictive ModelingStatistical ModelingFeature EngineeringTransformer AlgorithmsTransfer LearningNatural Language Processing (NLP)MLOpsModel Optimization

Soft Skills

Technical GuidanceMentorshipPresentation SkillsCollaborationStrategic Thinking

Tools & Technologies

PyTorchScikit-learnBigQueryGCP (Cloud Run, Vertex AI)ONNXVector DatabasesSemantic SearchLangChain/LangGraphRetrieval-Augmented Generation (RAG)Multi-Agent Orchestration

Certifications & Qualifications

Bachelor's DegreeMaster's Degree (Preferred)

Industry Keywords

Agentic AICustomer Behavior PredictionChurn RiskLifecycle TriggersMicro-SegmentationHyper-PersonalizationAgile Pod ModelHigh-Priority InitiativesCorporate SettingData Engineering

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 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
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 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 micro-segmentation and hyper-personalization across critical customer lifecycle touchpoints
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 working on high-priority or high-visibility technical initiatives within a corporate setting
Knowledge of LLM agent architecture: 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/deep learning algorithms, including Transformer, 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 (Cloud Run, Vertex AI)
Experience with cloud platforms such as GCP, AWS, or Azure and production MLOps tools
Experience building, evaluating, and deploying end-to-end propensity models
Ability to work at least three days per week in the office under the hybrid work policy

Benefits

Comp & perks

Medical, dental, and vision insurance
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 such as overtime, shift differential, holiday pay, and allowances, depending on the role
Newly hired employees receive up to 15 days of vacation per year, increasing with additional service
Other incentives
Hybrid work arrangement