Senior Applied Scientist for AWS Marketplace

The AWS Marketplace & Partner Services Science team is on the lookout for an experienced Applied Scientist to spearhead innovation across various AI domains. This includes Context Engineering in Agent-based Systems, developing Agent Evaluation Frameworks, and pioneering Next-generation Software Recommendations. Your contributions will play a critical role in transforming how customers discover software solutions for cloud migrations and modernization initiatives.

The ideal candidate is someone who flourishes in a scientific and practical environment, showcasing both technical excellence and business insight. A passion for mentoring and fostering a culture of continuous learning and innovation is essential. This position significantly impacts how thousands of AWS customers identify and implement software solutions, directly influencing AWS Marketplace's growth and customer success. Join us in shaping the future of AI-driven software recommendations while working with cutting-edge technologies at AWS scale.

Key Responsibilities:

• Design and enhance context engineering solutions for large language models and agent-based systems.
• Establish evaluation frameworks and metrics to assess agent performance and effectiveness.
• Collaborate with cross-functional teams, including Product and Engineering, to translate scientific innovations into tangible customer value.
• Mentor fellow Scientists and promote a scientific approach across the organization.

About the Team:

The AWS Marketplace & Partner Services Science team is at the cutting edge of developing and implementing AI/ML systems that cater to various critical stakeholders:

• AWS Customers: Our Discovery tools help facilitate cloud adoption and spur innovation.
• AWS Partners: Through Partner Central, we provide advanced tools and insights to bolster collaboration and drive mutual success.
• Internal AWS Sellers: We enable our sales force with data-driven recommendations to enhance service offerings for customers and partners.

Our primary mission is to accelerate cloud migrations and modernizations while fostering innovation for AWS customers and supporting the growth of our extensive partner network.

Why Join AWS?

Amazon Web Services (AWS) is a pioneering leader in cloud computing and continuously strives to innovate. Our robust suite of products and services is trusted by businesses of all sizes, from successful startups to Global 500 companies.

Inclusive Team Culture:

At AWS, we embrace learning and curiosity. Our employee-led affinity groups encourage an inclusive culture and celebrate diversity. Ongoing events and learning experiences inspire us to appreciate our unique differences.

Work/Life Balance:

We prioritize work-life harmony, aiming for flexibility in our work culture. Success at work should not necessitate sacrifices at home; we strive to support our employees both personally and professionally.

Mentorship and Career Growth:

We continually enhance our performance standards as we aspire to be Earth's Best Employer. Our environment fosters knowledge-sharing, mentorship, and numerous resources for career advancement.

Diverse Experiences:

Amazon values diverse experiences. We encourage all candidates to apply, regardless of whether they meet every preferred qualification listed in the job description. Don't hesitate to pursue this opportunity, even if your career trajectory has been unconventional.

BASIC QUALIFICATIONS

• 3+ years of experience in building machine learning models or developing algorithms for business applications.
• Proficiency in programming languages such as Java, C++, Python, or similar.

PREFERRED QUALIFICATIONS

• Deep expertise in state-of-the-art AI methodologies, especially concerning recommendation systems and agent-based architectures.
• Experience in prompt engineering and context optimization for large language models.
• A proven record of delivering production-scale AI solutions.
• Strong ability to assess technical feasibility and communicate complex concepts to business stakeholders.
• Experience mentoring technical teams and steering collaborative research initiatives.

Amazon is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to achieve the best outcomes for our customers. If you require workplace accommodations or adjustments during the application process, please reach out to your Recruiting Partner.

Our compensation reflects varying labor costs across US markets. The base pay for this position ranges from $150,400/year in our lowest geographic market to $260,000/year in our highest. Pay is influenced by several factors, including market location, job-related skills, and experience. Amazon offers a total compensation package that may include equity, sign-on bonuses, and a comprehensive range of benefits. For further information, please explore our employee benefits.

This position will remain open until filled. We encourage you to apply through our career site.