Amazon Principal Solutions Architect Customer Experience Business Trends 

United States, Washington, Seattle 

38359217

Key job responsibilities
- Own study lifecycle from scoping, to execution, to delivery of findings and recommendations to AGI and AWS leadership
- Continuously absorb and share knowledge about the latest product and scientific developments relevant to the Machine Learning (ML), AI Accelerators, purpose built hardware- Create scalable mechanisms and best practices, effectively influence strategic direction
- Able to deconstruct complex technical topics into straight-forward solutions and/or evaluation mechanisms

- 12+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Knowledge with Machine Learning (ML), GenAI model building, Deep Learning as it relates to products like AWS Trainium, Inferentia, Sagemaker HyperPod (or equivalent)