Senior Applied Scientist, AWS Marketplace & Partner Services
Senior Applied Scientist, AWS Marketplace & Partner Services
Posted on :
02-10-2025
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1 Vacancy
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Job Description
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 Marketplaces 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.
Key job 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 worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
- 3 years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java C Python or related language
- - 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.
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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 Marketplaces 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.
Key job 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 worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
- 3 years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java C Python or related language
- - 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.
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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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