Description

Are you passionate about Generative AI (GenAI)? Interested in applying cutting-edge Generative AI solutions to solve real-world problems with significant impact? The Customer Acceleration Team (CAT) at AWS is a strategic team that helps customers across a broad mix of industries develop solutions to solve critical business challenges. As a Generative AI Solution Architect, you will partner with customers and other AWS teams to design and build some of the most scalable, flexible and resilient solutions that address customer GenAI use cases on AWS.

In this role, you will help shape and develop novel solutions to solve business challenges. You will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q along with 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.

Key job responsibilities

• Partner in designing, building and migrating applications, software, and services on the AWS platform.

• Interact with customers directly to understand business challenges, 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.

• Work with AWS Service teams in synthesizing customer and market feedback to evolve the AWS Services roadmap

Travel will be mostly within the United States and occasionally international (EMEA). Travel is expected to be 15 - 30%.

A day in the life

The ideal candidate:

• Has deep expertise in AI/ML (specifically Generative AI).

• Has prior experience working as a Solution Architect.

• Is deeply technical and keeps their technical skills honed.

• Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).

• Communicates efficiently and effectively with both technical and non-technical audiences

• Is great fun to work with.

We are open to hiring candidates to work out of one of the following locations:

Dallas, TX, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Basic Qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

• 5+ years of design, implementation, or consulting experience in AI/ML (1+ in Generative AI specifically).

• Bachelor’s degree in Computer Science, Engineering or related field of study or 12+ years of related work experience.

Preferred Qualifications

• Masters or PhD degree in computer science, or related STEM field
.

• Strong working knowledge of deep learning, machine learning and statistics.

• 5+ Years of experience working with Machine Learning and Data Science communities.

• 3+ years of experience working with AWS ML technologies.

• Strong working knowledge of deep learning, machine learning and statistics
.

• Strong communication and data presentation skills
.

• Comfortable working in a fast paced, highly collaborative, dynamic work environment.

• Deep knowledge of software development tools and methodologies and active, hands-on coding and AI/ML application design experience.

• Ability to demonstrate body of work and influence (e.g. public repos, public speaking, Open-Source contributions or similar).

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $122,900/year in our lowest geographic market up to $239,000/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.