Amazon Senior GenAI Data Scientist - AI Agents Amazon Bedrock 

United States, New York, New York 

561398018

You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.You should understand the security and compliance requirements for ML/GenAI implementations.
Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.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.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.

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.
- 5+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- 3+ year experience working with technologies related to large language models including LLM architectures and model evaluation
- Experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
- Experienced in specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.