Job Details

Are you an AI-driven data scientist ready to innovate and build transformative solutions? Join the Amazon Nova Solutions team and collaborate with Foundation Model (FM) teams alongside a diverse array of Generative AI customers. Your role will be pivotal in customizing foundation models and creating future-forward applications.

In this dynamic position, you'll serve as a builder's advocate, helping Amazon businesses develop cutting-edge GenAI solutions that provide immediate business value while enhancing customer experience. You will engage closely with customers to impart knowledge on best practices and uncover new patterns as you navigate novel problem spaces.

Your expertise in large language models and relevant technologies will guide our product and engineering teams on how to improve our foundational models based on customer insights. With the authority to create on behalf of our customers, you will play a crucial role throughout the design, build, and launch phases of next-gen foundational models.

Key Responsibilities:

• Customer Advisor: Implement and deploy advanced machine learning solutions in Generative AI. Develop prototypes and proof of concepts while working closely with our customers.
• Thought Leadership: Promote AWS GenAI services and disseminate best practices through blogs, whitepapers, reference architectures, and public speaking engagements at events like AWS Summit and AWS re:Invent.
• Ensure successful design, building, and migration of applications using Amazon Nova FM's, AWS Bedrock, and other GenAI capabilities.
• Engage directly with customers to understand their challenges and help them implement robust GenAI systems.
• Educate customers on the Amazon Nova FM ecosystem's value and demonstrate the art of the possible.
• Drive strategies for evaluation, metric design, and dataset creation for real-world applications.
• Lead architectural discussions and design solutions leveraging Amazon Nova FM's.
• Contribute to customer-facing publications such as whitepapers, workshops, demos, and proof of concepts.
• Build strong relationships with customer engineering, product, and science leaders.

About the Team: The Amazon Nova Applied AI Solutions Team connects Foundation Model science, engineering, and product teams with Amazon's internal teams to create substantial business value for our customers. Our mission is to support clients in their journey to develop Generative AI applications and leverage insights from these engagements to enhance our Foundation Models continuously.

Basic Qualifications:

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.
• 5+ years of experience in technical architecture, design, deployment, and operations within Generative AI/ML platforms.
• 3+ years of experience with large language model technologies, including architecture and evaluation.
• Experience in ML/AI/Deep Learning solution design, implementation, and consulting.
• Proven expertise in technical domains like software development, cloud computing, systems engineering, and data analytics.

Preferred Qualifications:

• Experience optimizing ML workloads through techniques such as model compression, pruning, and distributed training.
• Familiarity with open-source frameworks for building language model-powered applications.
• Skills in crafting high-quality prompts and templates for guiding LLM responses.
• Strong customer-facing abilities to navigate discussions regarding trade-offs and best practices with senior personnel.
• Knowledge of AWS technologies like SageMaker, Step Functions, OpenSearch, and others.
• Experience with container platforms such as Docker and Kubernetes/Fargate.

Our inclusive culture empowers Amazonians to drive outstanding results for our customers. If you have a disability and need accommodation during the application process, please contact our Recruiting Partner.

The base pay for this position varies by geographic market, ranging from $143,300 to $247,600 per year. This role offers a comprehensive compensation package that may include equity, sign-on bonuses, and a full range of medical, financial, and other benefits.

This position will remain open until filled. Interested applicants should apply through our career site.