Amazon Senior Solution Architect Nonprofit Healthcare 

United States, Tennessee, Nashville 

378770898

This role will shape the future of advertising. You will be directly contributing to the development of Advertising General Intelligence. Reporting to the VP of Advertising, you will drive innovation in content understanding, policy automation, and GenAI and agentic applications while scaling our capabilities across Amazon's advertising ecosystem. You will drive scaled model development and deployment in a high availability and complex real time ecosystem.This role is working on an Advertising specific Foundational Model and subsequent capabilities. In this role you will solve the hardest science problems facing the Ads business. You will drive innovation through a global organization spanning four continents and must influence across organizations, requiring strong leadership skills in managing distributed teams across time zones and cultures. You have the depth and breadth and domain expertise to provide industry leading science leadership/guidance to the most complex initiatives while also doing hands-on work on the hardest problems that accelerate the team.
Key job responsibilities
Strategic Leadership
* Define and execute the scientific and technical vision for AT's next generation of tools and capabilities.
* Drive innovation in GenAI, LLMs, computer vision, and other emerging technologies.
* Partner with senior leaders across Amazon Advertising to align on strategic initiatives.
* Own the end-to-end delivery of AT's science roadmap.Technical Innovation
* Guide research directions in content understanding, policy automation, and trust & safety
* Drive adoption of emerging technologies while ensuring operational excellence
* Lead technical planning and resource allocation across teams
* Partner with academia and research organizations to advance the state of the art
* Represent AT's technical achievements across multiple venues"

* PhD in Computer Science, Statistics or related field.
* 6+ years of applied ML experience in deploying ML solutions to customer facing products.
* LLM, MLLM, General Multi-Model Experience, or Significant Applied Reinforcement Learning Background

* Experience in shipping large-scale deep learning models for online recommendation, personalization, or search.
* Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
* Experience in building GenAI-based product strategy.
* Evidence of producing internal or external publications that motivate new lines of research.
* Excellent verbal and written communication.