Address
Form of work
Salary- - 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.
Your primary responsibilities will include:
Collaborating with partners to create and drive technical strategies, taking the lead on go-to-market products integrated with AWS. You will work closely with partners to understand their product roadmaps and provide guidance on how to best leverage AWS AI/ML services.
Designing highly scalable, flexible, and resilient cloud architectures in partnership with your counterparts to address customer business challenges and accelerate the adoption of AWS services. Drawing on your depth of AWS knowledge, you will create innovative solutions that enable partners to deploy cutting edge AI/ML applications on the AWS Cloud.
Working closely with the AWS team to drive revenue growth through the successful adoption of Partner Solutions on the AWS platform. By showcasing partners AI/ML solutions running on AWS, you will create new business opportunities and support our rapidly growing ecosystem.
Serving as a trusted advocate for partners, contributing to the expansion of AWS mindshare and the broader use of AWS services. You will establish credibility with partners and become their trusted guide for building, deploying and managing advanced AI/ML applications in the cloud.
Sharing best practices and presenting AWS services and solutions within the Solution Architect community. You will educate other AWS teams on partners technology innovations to foster collaboration across the partner network.
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Key job responsibilities
1. Serve as the lead technical advisor on AI/ML for AWS's strategic partners building solutions on Amazon's industry-leading AI services such as Bedrock, SageMaker, Kendra, and DeepComposer.
2. Drive product integrations between partner offerings and AWS services or develop solutions that leverage AWS services effectively.
3. Collaborate with internal teams to ensure partner success, including business counterparts, service teams, and marketing.
4. Evangelize AWS Services and Partner Solutions through various channels, including AWS blogs, whitepapers, reference architectures, and public speaking events.Accelerate Partner Solutions development through the transfer of highly-specialized skills and knowledge.
5. Act as a technical liaison between partners and the service engineering teams, providing valuable product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Atlanta, GA, USA | Chicago, IL, USA | Dallas, TX, USA | Nashville, TN, USA | New York City, NY, USA | San Francisco, CA, USA | Seattle, WA, USA
- * 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.
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. Applicants should apply via our internal or external career site.
