Amazon
Principal Solutions Architect, GenAI/ML - WWSO Data & AI GTM SA Team
Amazon, New York, New York, us, 10261
Principal Solutions Architect, GenAI/ML - WWSO Data & AI GTM SA Team
Job ID: 2798459 | Amazon Web Services, Inc.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.
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, POCs. Scale by creating & delivering 1:many webinars and workshops.
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.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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.
Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers.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.
#J-18808-Ljbffr
Job ID: 2798459 | Amazon Web Services, Inc.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.
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, POCs. Scale by creating & delivering 1:many webinars and workshops.
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.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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.
Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers.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.
#J-18808-Ljbffr