Amazon Principal Solutions Architect GenAI/ML - WWSO Data & AI SA Team 

United States, New York, New York 

165805194

As Principal Solution Architect, GenAI/ML, you will be responsible for supporting adoption and utilization of Amazon Web Services (AWS) GenAI/ML services for customers in North America across one or more industries.You will be responsible for helping customers with their GenAI/ML applications by understanding their requirements, designing GenAI/ML solutions, conducting proof of concepts, and remove blockers for AWS service adoption.
You will collaborate with your Sales and Go to Market counterparts to influence GTM strategies and sales plays for new or existing services;You will work on thought leadership, create reusable assets and demos to help customers adopt AWS services at scale.A day in the life
Create thought leadership content, POCs. Scale by creating & delivering 1:many webinars and workshops.Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 10+ 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 communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- At least 3 years of experience in Machine Learning with knowledge of supervised, unsupervised, and reinforcement learning. Experience with Amazon SageMaker of similar products is needed. Understanding of various algorithms like decision trees, random forests, etc; Model evaluation; Understanding of architectures like CNNs, RNNs, LSTMs, and transformer models. Good understanding of Generative AI, LLMs, and Amazon Bedrock.

- 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 developersPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.