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 removing blockers for AWS service adoption.
You will gather customer and industry needs and partner with AWS product teams to innovate, develop, and deliver AWS solutions that can be applied at scale to many customers.
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 partner with internal product teams and account managers to win strategic customer workloads and drive business revenue.
You will work on thought leadership, create reusable assets and demos to help customers adopt AWS services at scale.
A day in the life:
Meet the hottest companies ready to use data and GenAI/ML to drive better business outcomes. Become the trusted advisor of their leaders, decision makers, and key individuals. Bridge the gap between business goals and technology. Inspire on the art of the possible use cases for GenAI & AI/ML.
Represent your industry, AWS product teams, and influence our GenAI & AI/ML roadmap to best support your customers. Work with AWS specialists and field teams to deliver results for your customers. Create thought leadership content and POCs. Scale by creating & delivering 1:many webinars and workshops.
Work hard. Make a difference. Enjoy life.
About The Team
The Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses, and pride themselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Basic Qualifications
- 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 evangelizing 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 or 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.
Preferred Qualifications
- 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
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
Company – Amazon Web Services, Inc.
Job ID: A2798459
#J-18808-Ljbffr