Responsible AI Data Scientist, Generative AI Innovation Center

Opportunity Overview

This is an exciting opportunity to shape the future of AI and make a real impact on our customers' generative AI journeys. Join the Generative AI Innovation Center to help customers shape the future of Responsible Generative AI while prioritizing security, privacy, and ethical AI practices. In this role, you will play a pivotal role in guiding AWS customers on the responsible and secure adoption of Generative AI, with a focus on Amazon Bedrock, our fully managed service for building generative AI applications.

Role Responsibilities

AWS Generative AI Innovation Center is looking for a Generative AI Data Scientist, who will guide customers on operationalizing Generative AI workloads with appropriate guardrails and responsible AI best practices.

• Guide customers on Responsible AI and Generative AI Security: Act as a trusted advisor to our customers, helping them navigate the complex world of Generative AI and ensure they are using it responsibly and securely.
• Operationalize generative AI workloads: Support customers in taking their generative AI projects from proof-of-concept to production, implementing appropriate guardrails and best practices.
• Demonstrate Generative AI Risks and Mitigations: Develop technical assets and content to educate customers on the risks of generative AI, including bias, offensive content, cyber threats, prompt hacking, and hallucinations.
• Collaborate with GenAI Product/Engineering and Customer-Facing Builder Teams: Work closely with the Amazon Bedrock product and engineering teams and customer-facing builders to launch new services, support beta customers, and develop technical assets.
• Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent.
• Develop technical content, workshops, and thought leadership to enable the broader technical community, including Solution Architects, Data Scientists, and Technical Field Community members.

Qualifications

Basic Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
• Experience applying theoretical models in an applied environment.

Preferred Qualifications

• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.

About the Team

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Additional Information

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, please visit this link for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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. For more information, please visit this link.