SDE, AI Infrastructure, AFT AI
Are you excited about developing novel agentic AI solutions and leveraging them to automate Amazon operations? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT AI, we are on a mission to build a new generation of dynamic end-to-end agentic solutions for our warehouses. These models will be able to understand and make use of petabytes of human-centered as well as process information from our warehouse systems and robotic work cells, and learn to perceive and act to further improve our world-class customer experience – at Amazon scale. We are looking for a Software Development Engineer who will lead the engineering effort. This includes developing the infrastructure to support AI research and development at scale, and the production systems that allow our agentic solutions to operate across a wide spectrum of processes within Fulfillment Technology and Robotics. Together, we will be pushing beyond the state of the art GenAI to automate one of the most complex systems in the world: Amazon's Fulfillment Network.
Key job responsibilities
* Design and Develop infrastructure for evaluation and benchmarking of agentic AI model that impact the entire fulfillment network.
* Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model development while optimizing GPU usage.
* Transform experimental AI artifacts from research into scalable systems by incorporating robust architectural components and engineering best practices.
* Lead and mentor a junior engineers through coaching and technical guidance.
* Own the technical architecture and define patterns and strategies where none exist.
* Work closely with scientists, product managers, technical program managers, and other stakeholders to deliver the right business outcome
A day in the life
One of the major projects under this role is Project Eluna: https://www.aboutamazon.com/news/operations/new-robots-amazon-fulfillment-agentic-ai?utm_source=ecsocial&utm_medium=linkedin&utm_term=12
About the team
The AFT AI team has deep expertise developing AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning, computer vision and GenAI techniques, applied to text, sequences of events, images or video from existing or new hardware.
Key job responsibilities
* Design and Develop infrastructure for evaluation and benchmarking of agentic AI model that impact the entire fulfillment network.
* Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model development while optimizing GPU usage.
* Transform experimental AI artifacts from research into scalable systems by incorporating robust architectural components and engineering best practices.
* Lead and mentor a junior engineers through coaching and technical guidance.
* Own the technical architecture and define patterns and strategies where none exist.
* Work closely with scientists, product managers, technical program managers, and other stakeholders to deliver the right business outcome
A day in the life
One of the major projects under this role is Project Eluna: https://www.aboutamazon.com/news/operations/new-robots-amazon-fulfillment-agentic-ai?utm_source=ecsocial&utm_medium=linkedin&utm_term=12
About the team
The AFT AI team has deep expertise developing AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning, computer vision and GenAI techniques, applied to text, sequences of events, images or video from existing or new hardware.