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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
A day in the lifeDiverse 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.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
- 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
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