Principal AI Engineer

The Principal AI Engineer will lead end-to-end development and deployment of high-priority propensity models, enabling precise microsegmentation and personalized customer experiences while mentoring engineers and partnering with marketing stakeholders.

Compensation

Salary: USD 120,500 - 231,000 per year.

Where You'll Be Working

This is a hybrid position with a defined work location that combines remote work and scheduled office days as determined by the manager. A minimum of three days per week in the office is expected, with adherence to the company’s hybrid work policies.

Work Schedule

40 hours per week.

Responsibilities

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

Requirements

• Bachelor’s degree or equivalent combination of education and experience.
• Six or more years of relevant experience requested, demonstrated through prior roles, military service, or specialized training.
• Four or more years of experience independently developing, deploying, and optimizing complex machine learning or propensity models in production.
• Experience contributing to high-priority or high-visibility initiatives within a corporate environment.
• Knowledge of LLM agent architecture including Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation RAG, MCP, and A2A protocols.
• Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases, and semantic search.
• Familiarity with cloud-scale data engineering, such as BigQuery pipelines and Google Cloud Platform components (Cloud Run, Vertex AI).
• Proficiency in 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, plus short and long term disability, life insurance, AD&D, identity protection, pet insurance, and group insurance options.
• 401(k) plan with company match.
• Paid holidays and personal days each year.
• Paid parental leave and adoption assistance.
• Tuition assistance and additional premium pay options such as overtime and shift differentials.
• Vacation accrual for new hires, increasing with tenure.
• Comprehensive total rewards package recognizing performance and contributions.

Equal Employment Opportunity

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