This position can be remote, but candidates must be based near an AWS office location (Arlington, Atlanta, Austin, Boston, Chicago, Cupertino, Dallas, Denver, East Palo Alto, Herndon, Houston, Irvine, Minneapolis, New York City, Portland, San Diego, San Francisco, Washington D.C., Sunnyvale, Santa Monica, Seattle).
Do you enjoy working with data to help customers optimize processes using Machine Learning? Have you spent hours putting an analysis together and challenged key parameters only to see if they matter? Have you debated using percentage errors or root mean square errors? Or precision at 5 Vs. precision at 30? Come work with us!
As a Specialist Solutions Architect, you will continuously sharpen your knowledge around the end-to-end model development lifecycle from data preparation and feature engineering to model development and retraining. You will use your expertise to guide customers how to operate ML solutions.
As a trusted advisor for AI/ML, you will share recommendations around security, cost, performance, reliability and operational efficiency to accelerate innovative and mission-critical projects our customers are building.
Internally, you will be the voice of the customer. You will articulate customer needs by synthesizing your observations from customer engagements and market trends around ML workloads to inform the roadmap of AWS features.
You will lead the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about AWS technology and industry trends in the AI/ML space using public speaking and content engagements like workshops, user group meetings, online videos, and conferences.
If you like talking about about the art of the possible, while challenging the impossible, come build the future with us.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.