Amazon
Principal Applied AI Architect, Applied AI & Data Architecture (AIDA)
Amazon, Dallas, Texas, United States, 75215
Job ID: 2955394 | Amazon Web Services, Inc.
The Amazon Web Services (AWS) Applied AI Architect team partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.
The Role
The Amazon Web Services (AWS) Principal Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI 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, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for building, migrating, and scaling generative AI & ML workloads in the cloud. Youll 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 Principal Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Youll 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 AI/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 Architect community. About the team
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. 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 developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing. Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications. Hands-on experience architecting and deploying full stack generative AI workloads to production systems. PREFERRED QUALIFICATIONS
Knowledge of distributed systems design and implementation or equivalent. Knowledge of large scale automation and workflow management or equivalent. Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers. Experience architecting, migrating, transforming or modernizing customer requirements to the cloud. PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
The Amazon Web Services (AWS) Principal Applied AI Architect partners with customers to design and build some of the most scalable, flexible and resilient cloud architectures and solutions. AWS Applied AI 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, Applied AI Architects help organizations understand best practices around advanced cloud-based solutions, and provide advice on strategies for building, migrating, and scaling generative AI & ML workloads in the cloud. Youll 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 Principal Applied AI Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Youll 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 AI/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 Architect community. About the team
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. 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 developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing. Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications. Hands-on experience architecting and deploying full stack generative AI workloads to production systems. PREFERRED QUALIFICATIONS
Knowledge of distributed systems design and implementation or equivalent. Knowledge of large scale automation and workflow management or equivalent. Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers. Experience architecting, migrating, transforming or modernizing customer requirements to the cloud. PhD in Computer Science with specialization in Machine Learning, Deep Learning, or Natural Language Processing - or - Masters in Computer Science with strong AI/ML focus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr