Principal Applied AI Architect, Applied AI & Data Architecture (AIDA)

Amazon; Austin (TX); On-site; USD 164,000 - 285,000; Full time

Job summary

An established industry player is seeking a Principal Applied AI Architect to join their innovative team. This role involves designing and implementing cutting-edge cloud solutions using generative AI and machine learning tools. You'll collaborate with customers to tackle complex business challenges, ensuring successful deployment of applications on the AWS platform. With a focus on education and advocacy, you will help organizations harness the power of AWS services to drive transformative outcomes. If you're passionate about technology and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Health Care Plans

Equity Options

Sign-on Payments

Flexible Work Hours

Paid Time Off

Professional Development

Retirement Plans

Employee Discounts

Qualifications

• 10+ years in technology domains like cloud computing and software development.
• Hands-on experience with full stack generative AI workloads.

Responsibilities

• Design and implement scalable cloud architectures and solutions.
• Educate customers on AWS and help them implement AI/ML ecosystems.

Skills

Cloud Computing

Generative AI

Machine Learning

Software Development

Systems Engineering

Data & Analytics

Networking

Security

Infrastructure

Education

Bachelor's degree in Computer Science

PhD in Computer Science

Master's in Computer Science

Tools

Amazon SageMaker

Amazon Bedrock

Amazon Q

Job description

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. 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 involve 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

1. Ensure success in designing, building and migrating applications, software, and services on the AWS platform.
2. Interact with customers directly to understand the business problem, help and aid them in implementation of their AI/ML ecosystem.
3. Educate customers on the value proposition of AWS and showcase the art of possible.
4. 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.
5. Author and contribute to AWS customer-facing publications such as whitepapers, workshops, demos and proof of concepts.
6. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
7. 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

1. 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
2. Bachelor's degree in computer science, engineering, mathematics or equivalent.
3. Experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing.
4. Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications.
5. Hands-on experience architecting and deploying full stack generative AI workloads to production systems.

PREFERRED QUALIFICATIONS

1. Knowledge of distributed systems design and implementation or equivalent.
2. Knowledge of large scale automation and workflow management or equivalent.
3. Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers.
4. Experience architecting, migrating, transforming or modernizing customer requirements to the cloud.
5. 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 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 here 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 here. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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