Description
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 for building, migrating, and scaling generative AI & ML workloads in 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 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. 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 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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
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 evangelising 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.
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 $164,500/year in our lowest geographic market up to $284,300/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.