Applied Scientist II, Amazon AI at Work Job at Amazon in Herndon

Job ID: 3088493 | Amazon Development Center U.S., Inc.

Overview

We are looking for an Applied Scientist who is passionate about revolutionizing how product managers, program managers, and business analysts work with artificial intelligence. You will be part of the Amazon AI at Work (AIW) team building the next generation of AI agents that transform how business professionals operate and reshape the future of hybrid (AI + human) work. As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end agentic AI solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined and may require scientific breakthroughs.

You take a long-term view of business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with stakeholders, engineers, and scientist peers. You provide perspective and context for current technology choices and make recommendations on modeling and component design to achieve the desired business outcomes and user experience.

Key responsibilities

• Design and develop AI agents specifically tailored for business and product management workflows.
• Create novel frameworks for automating and enhancing workplace tasks.
• Lead cross-team projects to bring solutions from research to production.
• Drive innovation in business process automation and decision support systems.
• Communicate and document research outcomes through publishing papers in external scientific venues.

About the team

As part of the AWS Applied AI Solutions organization, we aim to provide business applications that leverage Amazon's experience to help millions of companies manage day-to-day operations. We accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. We partner with customers who prefer to buy over building, delivering solutions that are easy to adopt and use.

Diversity and inclusion

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed, 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.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies.

Inclusive team culture

We foster a culture of inclusion and curiosity through employee-led affinity groups and ongoing learning experiences. Programs like CORE and AmazeCon support diversity and inclusion.

Mentorship & Career Growth

We strive to raise our performance bar and provide mentorship and other resources to help you develop professionally.

Work/Life Balance

We value work-life harmony and flexibility to support success at work and home.

Qualifications

Basic Qualifications

• 3+ years of building models for business applications
• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed venues
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing

Preferred Qualifications

• Knowledge of architectural concepts and algorithms, schedule tradeoffs and opportunities with technical team members
• Some experience with LLM

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 accommodation during the application or hiring process, please contact the recruiting team for assistance. Our compensation reflects the cost of labor across several US geographic markets, with base pay ranging from $136,000/year to $223,400/year depending on location, knowledge, skills, and experience. Amazon offers a full range of medical, financial, and other benefits as part of total compensation. For more information, please visit the company benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted: September 23, 2025 (Updated as of the posting date)

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