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Amazon Sr. Partner Solutions Architect, Generative AI & Machine Learning in Austin, Texas

Description

Amazon Web Services (AWS) is looking for a world class Partner Solutions Architect (PSA) to grow the AWS Generative AI & Machine Learning business through consulting (SI/GSI) and technology (ISV) partners in North America. As a Generative AI Partner 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 partners & customers through your passion for educating, training, designing and building cloud hosted Generative AI solutions for some of the world’s fastest growing companies. You will play a pivotal role in shaping the technology strategy and fostering senior-level relationships with Independent Software Vendors and Consulting partners.

You will drive adoption of 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 through partners, and you will do this by mobilizing resource within AWS and working with our extensive partner network.

Key job responsibilities

• Serve as the lead technical advisor on GenAI & AI/ML for AWS's strategic partners building & supporting solutions on Amazon's industry-leading GenAI & AI services such as Amazon Bedrock, Amazon SageMaker and Amazon Code Whisperer.

• As a key member of the business development and sales team, ensure partner success in building and migrating applications, software and services on the AWS platform.

• Support partners across different stages of their development including practice development, offering/solution development, enablement, and leveraging AWS programs.

• Evangelize AWS Services and partner solutions through various channels, including AWS blogs, whitepapers, reference architectures, and public speaking events.

• Build deep relationships with senior technical individuals within customers/partners to enable them to be cloud advocates.

• Act as a technical liaison between customers/partners, service engineering teams and support.

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

Arlington, VA, USA | Atlanta, GA, USA | Austin, TX, USA | Boston, MA, USA | Chicago, IL, USA | Dallas, TX, USA | New York City, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Basic Qualifications

  • 7+ years of highly technical, hands-on architecture experience.

  • 5+ years of experience in an AI/ML solutions architect or technical consulting role.

  • 5+ years of specific technology domain areas (e.g., AI/ML, cloud computing, systems engineering, infrastructure, data & analytics) experience.

  • 5+ years in a customer/partner-facing role or extensive experience working with internal business leads to develop solutions.

Preferred Qualifications

  • An advanced degree in Computer Science, Mathematics, Statistics, or related field with specialization in machine learning.

  • Experience working with AWS technologies from an AI/ML services perspective.

  • Industry recognized thought leader on AI/ML via speaking engagements, publications, and open source contributions.

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.

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