Senior Applied Scientist, Aws Marketplace

Senior Applied Scientist, AWS Marketplace & Partner Services Job ID: ******* | Amazon Web Services, Inc.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.Key Job ResponsibilitiesDesign and optimize context engineering solutions for large language models and agent-based systemsEstablish evaluation frameworks and metrics for measuring agent performance and effectivenessCollaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer valueMentor Scientists and influence scientific approach across the organizationAbout the TeamAWS 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 AWSAmazon 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.Inclusive Team CultureHere at AWS, it's 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 BalanceWe 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, there's nothing we can't achieve in the cloud.Mentorship and Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer.That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon 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, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Basic Qualifications3+ years of building machine learning models or developing algorithms for business application experienceExperience programming in Java, C++, Python or related languagePreferred QualificationsDeep expertise in state-of-the-art AI approaches, particularly in recommendation systems and agent-based architecturesDemonstrated experience in prompt engineering and context optimization for large language modelsTrack record of delivering production-scale AI solutionsExcellent ability to evaluate technical feasibility and communicate complex concepts to business stakeholdersProven experience in mentoring technical teams and driving collaborative research initiativesAmazon 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, please visit 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 in our lowest geographic market up to $260,000/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.Depending 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 other benefits.For more information, please visit .This position will remain posted until filled.Applicants should apply via our internal or external career site.#J-*****-Ljbffr