Based on the previous conversation and documents, here's the toned-down job summary:

Job Summary:
Have you ever ordered a product on Amazon and wondered how it got to you so fast? Join Amazon's Supply Chain Optimization organization where we're building a real-time, intelligent, and fully automated system to model Amazon's complex transportation network.

Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot

As an SDE-2, you'll work on innovative solutions combining Generative AI capabilities with advanced graph algorithms to optimize Amazon's global transportation network, making it truly hands-off-the-wheel while maximizing delivery speed and cost efficiency.

You'll be part of a team that:
- Collaborates with scientists to implement sophisticated graph algorithms for worldwide transportation optimization
- Explores and implements Generative AI applications to enhance supply chain optimization
- Partners with Business Intelligence engineers and data engineering teams to transform business requirements into technical solutions
- Works directly with business stakeholders to understand challenges and develop innovative technical strategies
- Designs and implements scalable systems for managing Amazon's exponentially growing transportation network
- Works with SQL and NoSQL databases, Big Data analytics, and distributed systems
- Develops highly-optimized solutions with millisecond latency requirements
- Creates innovative approaches to model, store, validate, and process billions of rows of configuration data

This role offers an exciting opportunity to work at the intersection of supply chain optimization, emerging AI technologies, and graph theory while solving deep technical problems that push technological boundaries. You'll collaborate with software developers, scientists, business intelligence engineers, and business stakeholders to impact millions of customers in a fast-paced environment.