Jobs at Verizon

Leads architecture, development, deployment, and optimization of large-scale AI/ML, generative AI, and agentic systems. Oversees data pipelines, model training, monitoring, validation, and lifecycle practices while mentoring data science and engineering teams. Partners with product and business stakeholders, establishes secure and ethical AI standards, analyzes conversational data, evaluates emerging technologies, and provides technical thought leadership on scalable model architectures and MLOps.

Develops agentic AI solutions, statistical models, optimization methods, dashboards, and actionable analytics for supply chain and operations. Builds and validates models using large-scale data, integrates LLM APIs and agentic frameworks, ensures data quality, and translates business problems into analytical solutions. Partners with data scientists, engineers, and stakeholders to deliver production-grade AI products and communicate business implications.

Leads research and development of ethical, unbiased AI capabilities, including model testing, validation, privacy protection, and bias mitigation. Builds and manages a high-performing data science team, provides technical thought leadership, establishes AI governance practices, mentors talent, and partners with academia and startups. Oversees predictive, prescriptive, and adaptive models deployed in batch and streaming production environments across on-premise, cloud, and edge systems.

Build, deploy, and manage end-to-end AI services for traditional and generative AI use cases. Design scalable AI/ML solutions, distributed computing systems, training and deployment pipelines, and advanced algorithms. Analyze and optimize model performance across cloud platforms, GPUs, containers, and serving platforms while collaborating with cross-functional teams to deliver business-focused solutions.

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing data pipelines and model architectures, fine-tuning and evaluating LLMs, mentoring AI teams, establishing MLOps and validation best practices, ensuring secure and ethical deployments, and partnering with product and business stakeholders. The role also provides technical thought leadership, analyzes conversational data, and drives scalable AI innovation.

Develop and maintain Python automation scripts for the Wireless Network Management Center. Analyze wireless trouble tickets and alarms to identify trends and business impact, interpret worklog entries, understand automation workflows, and answer user questions. The role also involves troubleshooting complex problems, supporting large-scale IT systems and applications, collaborating with stakeholders, and adapting code to new scripting languages in a hybrid work environment.

Operate and maintain Verizon’s virtual Radio Access Network, including vRAN upgrades, new element deployments, troubleshooting, root cause analysis, and issue resolution. Collaborate with internal and external teams, maintain technical documentation, meet restoration and resolution metrics, and recommend process and tooling improvements. The role requires cloud, containerized platform, wireless RAN, cellular network performance, engineering documentation, and project-management experience, with shift work supporting U.S. daytime hours.

Design and build predictive and prescriptive models (churn, segmentation, survival, forecasting), run experiments (A/B, multi-armed bandit), deploy cloud-based solutions (PySpark on AWS/GCP), synthesize insights, and collaborate cross-functionally to inform marketing, finance, and operations decisions.

Develops AI-driven FP&A automation, financial reporting, data visualizations, and executive insights. Builds Qlik, Tableau, and Looker applications, automates ETL and month-end reporting, and partners with finance and data science teams. Designs production AI agents using LLM APIs, prompt engineering, model selection, and tool calling. Ensures reporting accuracy, change control, production support, and adoption of modern finance practices across Verizon.

Design, develop, and optimize AI, SLM/LLM, and agentic solutions. Implement and tune algorithms and large-scale distributed training, orchestrate model fine-tuning and serving, analyze performance, define APIs, and communicate technical outcomes to non-technical stakeholders.

Lead technical pre-sales for mid-to-large enterprise deals: perform discovery, whiteboard solutions, scope automation, design scalable SD-WAN/cloud network architectures, validate BOMs/RFPs, mentor junior architects, and align Sales, Delivery, and Product.

Lead design and delivery of end-to-end network automation, integrate core systems, build data pipelines and observability dashboards, resolve technical debt, and provide technical leadership across cross-functional teams to improve resiliency and operational efficiency.