R-1101008 Senior AI Engineer

Verizon•Basking Ridge, NJ

2d•$111,500 - $194,000•Hybrid

About The Position

As a Senior AI Engineer on Verizon’s propensity modeling team, you will support the company’s transition to a modern, agile pod model. You will apply advanced machine learning to customer lifecycle touchpoints and high-impact trigger events, enabling micro-segmentation and hyper-personalization to help marketers optimize customer journeys and reduce churn. The role involves leading agentic AI, LLM, and machine learning/deep learning solutions; developing and deploying complex propensity models; owning model pipelines and lifecycles; and advising teammates and business partners on model results and strategy.

Requirements

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 in a corporate setting.
Knowledge of LLM agent architecture, including Google ADK, LangChain/LangGraph, multi-agent orchestration, 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 Transformers, transfer learning, and NLP, and expertise using PyTorch and scikit-learn.

Nice To Haves

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, or cross-sell models.

Responsibilities

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 behavior, churn risk, and lifecycle triggers.
Independently 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, and provide technical guidance and mentorship to junior data scientists.
Own the lifecycle of models used in high-impact areas, maintaining continuous optimization, accuracy, and measurable business performance.
Present model insights, performance metrics, and strategic recommendations to senior leadership and cross-functional business partners.

Benefits

Medical, dental, and vision benefits.
Short- and long-term disability insurance.
Basic and supplemental life insurance and AD&D insurance.
Identity theft protection, pet insurance, and group home and auto insurance.
Matched 401(k) savings plan.
Up to 8 company-paid holidays per year and up to 6 personal days per year.
Paid parental leave.
Adoption assistance.
Tuition assistance.
Incentives and potential premium pay, including 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.