Principal AI Engineer

Verizon is seeking a Principal AI Engineer to lead the end-to-end development and deployment of high-priority propensity models that enable microsegmentation and personalized customer experiences. This hybrid role, based in Basking Ridge, NJ, combines hands-on modeling with mentorship of engineers and collaboration with marketing stakeholders to translate complex analytics into measurable business outcomes. The position offers a salary range of USD 120,500 to 231,000 per year.

Responsibilities

• Build, train, and deploy our most intricate propensity models to forecast customer behavior, churn risk, and key lifecycle triggers.
• Independently manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.
• Collaborate with high-visibility base management pods and senior marketing stakeholders to convert retention goals into actionable data science solutions.
• Own the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance.
• Translate advanced analytical outputs into microsegmentation strategies that empower marketing partners to deliver highly personalized customer experiences.
• Serve as a technical mentor and advisor to senior and mid-level AI/ML engineers, sharing best practices for model optimization and data pipelines.
• Present complex model insights, performance metrics, and strategic recommendations clearly to senior leadership and cross-functional partners.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Four or more years of experience independently developing, deploying, and optimizing complex machine learning or propensity models in a production environment.
• 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, A2A protocols.
• Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and semantic search.
• Knowledge of cloud-scale data engineering: BigQuery pipelines, GCP (Cloud Run, Vertex AI).
• Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.

Technologies

• Google ADK
• LangChain
• LangGraph
• Retrieval-augmented generation (RAG)
• MCP
• A2A protocols
• ONNX-based embeddings
• Vector databases
• Semantic search
• BigQuery pipelines
• GCP
• Cloud Run
• Vertex AI
• Python
• R
• SQL
• OpenTelemetry
• Arize Phoenix
• Galileo

Benefits

• Health and wellness coverage including medical, dental, and vision; short- and long-term disability; basic and supplemental life insurance; AD&D; identity theft protection; pet insurance; and group home and auto insurance
• 401(k) savings plan with company match
• Up to 8 company-paid holidays per year
• Up to 6 personal days per year
• Paid parental leave
• Adoption assistance
• Tuition assistance
• Premium pay options such as overtime, shift differential, holiday pay, and allowances
• Newly hired employees accrue up to 15 vacation days per year, growing with service
• Total rewards package

Where you’ll be working

This is a hybrid role with a defined work location that includes work from home and assigned office days as set by the manager. A minimum of three days per week in the office is expected, with adherence to hybrid work policies.

Schedule

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability or other legally protected characteristics.