Senior AI Engineer

Verizon

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

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 designing, developing, 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, and SQLLLM Agent ArchitecturePyTorch and Scikit-LearnCloud Platforms (GCP, AWS, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingFeature EngineeringAdvanced Statistical ModelingTransformer AlgorithmsTransfer LearningNatural Language Processing (NLP)End-to-End Propensity ModelsModel OptimizationMLOps ToolsMicro-Segmentation

Soft Skills

Technical GuidanceMentorshipPresentation SkillsCollaboration

Tools & Technologies

Google ADKLangChain/LangGraphBigQueryGCP (Cloud Run, Vertex AI)ONNX-based EmbeddingsVector DatabasesSemantic Search

Certifications & Qualifications

Bachelor's DegreeMaster's Degree (Preferred)

Industry Keywords

Agentic DevelopmentCustomer LifecycleChurn ReductionAgile Pod ModelHigh-Visibility Technical Initiatives

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 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
Support Verizon's transition to a modern, agile pod model
Provide machine learning support for customer lifecycle touchpoints and trigger events
Enable micro-segmentation, hyper-personalization, marketing optimization, customer journey improvements, and churn reduction

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Four or more years of relevant experience required, 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
Master's degree is an additional preferred qualification
Experience with RAG, ONNX-based embeddings, vector databases, and semantic search is an additional preferred qualification
Knowledge of BigQuery pipelines and GCP, including Cloud Run and Vertex AI, is an additional preferred qualification
Experience with cloud platforms such as GCP, AWS, or Azure and production MLOps tools is an additional preferred qualification
Experience building, evaluating, and deploying end-to-end propensity models is an additional preferred qualification

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
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Incentive-based compensation with potential to earn more