Sr Engr Cslt-AIML Engineering

You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn grow and thrive. At Verizon we power and empower how people live work and play by connecting them to what brings them joy. We do what we love driving innovation creativity and impact in the world. Our V Team is a community of people who anticipate lead and believe that listening is where learning crisis and in celebration we come together lifting our communities and building trust in how we show up everywhere & always. Want in Join the #VTeamLife.

As a Senior AI Engineer within our team of propensity modelers you will be responsible for the technical execution of Verizons transition to a modern agile pod model. You will work directly at the critical touchpoints of the customer lifecycle and high-impact trigger events providing the advanced machine learning support needed to unlock deep microsegmentation and hyper-personalization. Your work will directly empower marketers optimize customer journeys and drive down churn across our most critical customer segments.

• Building training and deploying our most complex and high-priority propensity models to predict customer behaviors churn risk and key lifecycle triggers.

• Operating independently to manage end-to-end model development pipelines from advanced feature engineering to production deployment and monitoring.

• Collaborating with high-visibility base management pods and senior marketing stakeholders to translate complex business retention goals into actionable data science solutions.

• Owning the lifecycle of models deployed in high-impact areas ensuring continuous optimization accuracy and measurable business performance.

• Translating advanced analytical outputs into actionable microsegmentation strategies that enable marketing partners to deliver highly personalized customer experiences.

• Presenting complex model insights performance metrics and strategic recommendations clearly to senior leadership and cross-functional business partners.

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

You are a data science professional who thrives on solving complex analytical problems with minimal guidance. You have a proven track record of managing high-priority machine learning projects and you excel at collaborating directly with business partners to deliver data-driven customer experiences that impact the bottom line.

Youll need to have:

• Bachelors 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 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.

Even better if you have one or more of the following:

• Masters degree in Data Science Computer Science Statistics or a highly quantitative field.

• Strong domain expertise in customer retention strategies churn prediction or customer lifetime value (CLV) modeling.

• Experience designing and evaluating A/B tests for models in production production ML/LLM monitoring and observability tooling (e.g. OpenTelemetry Arize Phoenix Galileo) for tracking model drift accuracy degradation or output quality over time.

• Experience operating within an agile pod-based operating model directly supporting marketing or customer experience teams.

• Experience with cloud platforms (e.g. GCP AWS or Azure) and production MLOps tools for tracking and maintaining model workflows.

• Excellent communication and presentation skills with a demonstrated ability to explain advanced predictive models to non-technical stakeholders.

If Verizon and this role sound like a fit for you we encourage you to apply even if you dont meet every even better qualification listed above.

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status disability or other legally protected characteristics.

Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon. From health and wellness benefit options including: medical dental vision short and long term disability basic life insurance supplemental life insurance AD&D insurance identity theft protection pet insurance and group home & auto insurance. We also offer a 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 and tuition assistance plus other incentives weve got you covered with our award-winning total rewards package. Depending on the role employees have the opportunity to receive compensation in the form of premium pay such as overtime shift differential holiday pay allowances etc. Newly hired employees receive up to 15 days of vacation per year which grows with additional service. For part-timers your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.