Sr. Applied Scientist, Amazon AI at Work

Job description

Description
We are looking for a Senior Applied Scientist who will lead the technical vision and innovation in 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 a Senior Applied Scientist, you are a recognized technical leader who drives the scientific strategy, mentors team members, and partners with cross-functional teams to deliver complex end-to-end AI solutions.

Your work focuses on identifying and framing new research challenges in ambiguous problem areas where both the business problem and solution approach need to be defined.

The problems you tackle require significant scientific innovation at the product level.

Key job responsibilities
• Design and architect complex AI agent systems for business and product management workflows at scale
• Define and lead research initiatives in human-AI collaboration frameworks across multiple teams
• Drive end-to-end delivery of novel AI solutions from inception to production, ensuring system-level technical requirements are met
• Lead technical discovery and innovation through rapid experimentation while maintaining high standards
• Mentor junior scientists and influence adoption of scientific best practices across teams
• Author technical documentation and research papers that advance the field of AI agents

The ideal candidate combines deep technical expertise with strong business acumen and thrives in ambiguous, fast-paced environments.

You should be passionate about creating AI solutions that enhance human capabilities and comfortable working in a startup-like atmosphere while maintaining high standards for responsible AI development.

A day in the life
You take ownership of the long-term scientific vision, product roadmaps, and technologies, defining how they should evolve.

You build consensus through thoughtful discussions with stakeholders, engineers, and scientist peers across multiple teams.

You bring deep expertise to provide context for current and future technology choices and make strategic recommendations on modeling approaches and system architecture to achieve transformative business outcomes and user experiences.

About the team
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations.

We will accomplish this by accelerating our customers' businesses through delivery of 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.

Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Diverse Experiences
AWS values diverse experiences.

Even if you do not meet all of the 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.

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.

Inclusive Team Culture
Here 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’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.

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, there’s nothing we can’t achieve in the cloud.
Basic Qualifications
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Experience in building machine learning models for business application
- Strong background in human-AI interaction systems

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 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 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.

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 https://www.aboutamazon.com/workplace/employee-benefits .

This position will remain posted until filled.

Applicants should apply via our internal or external career site.

Required Skill Profession

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