Teams at Verizon

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing end-to-end ML pipelines, fine-tuning and evaluating LLMs, mentoring data science and engineering teams, establishing secure and ethical AI practices, and providing technical thought leadership. The role also covers model monitoring, MLOps, distributed infrastructure, conversational data analysis, cross-functional collaboration, and adoption of emerging AI technologies.

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 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.