Amazon Web Services (AWS)
Senior Applied Scientist, AWS Marketplace & Partner Services
Amazon Web Services (AWS), Austin, Texas, us, 78716
Senior Applied Scientist, AWS Marketplace & Partner Services
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Senior Applied Scientist, AWS Marketplace & Partner Services
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Amazon Web Services (AWS) Overview
The AWS Marketplace & Partner Services Science team seeks an experienced Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluation Frameworks, and Next-generation Software Recommendations. This role will be instrumental in revolutionizing how customers discover software solutions for cloud migrations and modernization initiatives. The ideal candidate thrives in an environment of scientific rigor and practical application, demonstrating both technical excellence and business acumen. They should be passionate about mentoring others and contributing to a culture of continuous learning and innovation. This role directly influences how thousands of AWS customers discover and implement software solutions, making it crucial for AWS Marketplace's growth and customer success. The position offers the opportunity to shape the future of AI-driven software recommendations while working with innovative technologies at AWS scale. Responsibilities
Design and optimize context engineering solutions for large language models and agent-based systems Establish evaluation frameworks and metrics for measuring agent performance and effectiveness Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value Mentor Scientists and influence scientific approach across the organization About The Team
The AWS Marketplace & Partner Services Science team is at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders: AWS Customers: Through the AWS Marketplace, we support Discovery tools that streamline cloud adoption and innovation. AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth. Internal AWS Sellers: We equip our sales force with data-driven recommendations to better serve our customers and partners. Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while simultaneously supporting the growth and success of our extensive partner network. 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. Perks and Culture
Inclusive Team Culture, Work/Life Balance, Mentorship and Career Growth, and Diverse Experiences highlight AWS’s commitment to its employees. AWS encourages candidates to apply even if they do not meet all preferred qualifications. Basic Qualifications
3+ years of building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python or related language Preferred Qualifications
Deep expertise in state-of-the-art AI approaches, particularly in recommendation systems and agent-based architectures Demonstrated experience in prompt engineering and context optimization for large language models Track record of delivering production-scale AI solutions Excellent ability to evaluate technical feasibility and communicate complex concepts to business stakeholders Proven experience in mentoring technical teams and driving collaborative research initiatives Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation during the application or hiring 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 $150,400/year to $260,000/year. Pay is based on location, knowledge, skills and experience. Amazon is a total compensation company. Equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, 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. Job Details
Company: Amazon Web Services, Inc. Job ID: A3082145 Seniority level: Mid-Senior level Employment type: Full-time Job function: Research, Science, and Engineering Industries: IT Services and IT Consulting
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Join to apply for the
Senior Applied Scientist, AWS Marketplace & Partner Services
role at
Amazon Web Services (AWS) Overview
The AWS Marketplace & Partner Services Science team seeks an experienced Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluation Frameworks, and Next-generation Software Recommendations. This role will be instrumental in revolutionizing how customers discover software solutions for cloud migrations and modernization initiatives. The ideal candidate thrives in an environment of scientific rigor and practical application, demonstrating both technical excellence and business acumen. They should be passionate about mentoring others and contributing to a culture of continuous learning and innovation. This role directly influences how thousands of AWS customers discover and implement software solutions, making it crucial for AWS Marketplace's growth and customer success. The position offers the opportunity to shape the future of AI-driven software recommendations while working with innovative technologies at AWS scale. Responsibilities
Design and optimize context engineering solutions for large language models and agent-based systems Establish evaluation frameworks and metrics for measuring agent performance and effectiveness Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value Mentor Scientists and influence scientific approach across the organization About The Team
The AWS Marketplace & Partner Services Science team is at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders: AWS Customers: Through the AWS Marketplace, we support Discovery tools that streamline cloud adoption and innovation. AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth. Internal AWS Sellers: We equip our sales force with data-driven recommendations to better serve our customers and partners. Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while simultaneously supporting the growth and success of our extensive partner network. 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. Perks and Culture
Inclusive Team Culture, Work/Life Balance, Mentorship and Career Growth, and Diverse Experiences highlight AWS’s commitment to its employees. AWS encourages candidates to apply even if they do not meet all preferred qualifications. Basic Qualifications
3+ years of building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python or related language Preferred Qualifications
Deep expertise in state-of-the-art AI approaches, particularly in recommendation systems and agent-based architectures Demonstrated experience in prompt engineering and context optimization for large language models Track record of delivering production-scale AI solutions Excellent ability to evaluate technical feasibility and communicate complex concepts to business stakeholders Proven experience in mentoring technical teams and driving collaborative research initiatives Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation during the application or hiring 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 $150,400/year to $260,000/year. Pay is based on location, knowledge, skills and experience. Amazon is a total compensation company. Equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, 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. Job Details
Company: Amazon Web Services, Inc. Job ID: A3082145 Seniority level: Mid-Senior level Employment type: Full-time Job function: Research, Science, and Engineering Industries: IT Services and IT Consulting
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