Amazon
Solutions Architect - GenAI
Amazon, Austin, Texas, us, 78716
Description
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
The Role
The Amazon Web Services (AWS) Solutions Architect team partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Solutions Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Solutions Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for migrating existing workloads to the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Generative AI Solution Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, and Amazon Code Whisperer and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You’ll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop Generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
Interact with customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem
Educate customers on the value proposition of AWS and showcase the art of possible.
Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
Capture and share best-practice knowledge amongst the AWS solutions architect community.
About the team
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.
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.
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.
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.
Basic Qualifications
1+ years of design, implementation, or consulting in applications and infrastructures experience
3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
5+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
Experience deploying and optimizing generative AI workloads in production.
Large models pretrain/fine-tuning experience, familiar with distributed training
Pre-sales engineering, technical business development, strategic partnerships, or program/product management experience
Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment.
Hands on experience with Amazon SageMaker, Amazon Bedrock, or Amazon Q.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
The Role
The Amazon Web Services (AWS) Solutions Architect team partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Solutions Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
As a trusted customer advocate, Solutions Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for migrating existing workloads to the cloud. You’ll help drive successful business outcomes across a broad set of enterprise customers through your passion for educating, training, designing and building cloud solutions.
As a Generative AI Solution Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, and Amazon Code Whisperer and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You’ll help drive successful business outcomes across a broad set of customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions.
You will design and develop Generative AI industry solutions that involves large-scale data processing and modeling. You will have responsibility to help define requirements, create solution designs, implement code to these specifications, and support solutions while deployed and used by our industry customers. You will have the opportunity to help shape and execute a strategy to build deep adoption and broad use of AWS within your customers, and you will do this by mobilizing resources within AWS and working with our extensive partner network.
Travel is mostly regional, and is expected to be 15-20%.
Key job responsibilities
Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
Interact with customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem
Educate customers on the value proposition of AWS and showcase the art of possible.
Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud.
Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
Capture and share best-practice knowledge amongst the AWS solutions architect community.
About the team
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.
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.
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.
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.
Basic Qualifications
1+ years of design, implementation, or consulting in applications and infrastructures experience
3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
5+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
Experience deploying and optimizing generative AI workloads in production.
Large models pretrain/fine-tuning experience, familiar with distributed training
Pre-sales engineering, technical business development, strategic partnerships, or program/product management experience
Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment.
Hands on experience with Amazon SageMaker, Amazon Bedrock, or Amazon Q.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.