Job Title: Sr. Responsible AI Data Scientist, Generative AI Innovation Center
Company: Amazon Web Services (AWS)
Job ID: 2692218
Location: Multiple US locations
Application Deadline: Open until filled
Job Description:
Amazon Web Services (AWS) is seeking a Sr. Responsible AI Data Scientist to join the Generative AI Innovation Center and shape the future of responsible and secure Generative AI. In this role, you will guide customers in adopting Generative AI solutions, with a special focus on ensuring security, privacy, and ethical AI practices. This is an exciting opportunity to work with Amazon Bedrock, AWS’s fully managed service for building Generative AI applications.
You will help customers operationalize Generative AI workloads by developing and implementing best practices for responsible AI (RAI). Your work will include bias mitigation, fairness evaluation, vulnerability assessments, model evaluations, and grounding model responses. You’ll also collaborate with AWS product teams, engineers, and customer-facing builders, influencing product direction and developing technical assets to support responsible Generative AI adoption.
In addition to serving as a thought leader in the field, you will engage with customers, partners, and policymakers to shape RAI policies, while also developing educational content such as white papers, reference implementations, and presentations. You will have the opportunity to travel up to 40%, attending and speaking at events, and representing AWS at conferences like AWS re
.
Key Responsibilities:
- Act as a trusted advisor on Responsible AI and Generative AI security, guiding customers through complex AI challenges.
- Operationalize Generative AI projects, implementing guardrails and risk mitigation strategies.
- Develop assets to educate customers about risks associated with Generative AI (e.g., bias, cyber threats, prompt hacking).
- Collaborate with AWS teams to launch new Generative AI services and build technical content.
- Serve as a thought leader and represent AWS at industry conferences and events.
- Create workshops, technical content, and enablement materials for the broader technical community.
Required Skills and Qualifications:
- 5+ years of experience with data querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, Matlab).
- 4+ years of experience as a Data Scientist.
- Strong expertise in Generative AI models, their risks, and Responsible AI practices, including bias mitigation and ethical AI principles.
- Bachelor’s degree in Business, Science, or a related technical/math/scientific field.
- Hands-on experience with AI security best practices such as vulnerability assessments, red teaming, and data access controls.
- Experience with statistical models (e.g., multinomial logistic regression).
Preferred Qualifications:
- 2+ years of experience in data visualization tools like AWS QuickSight, Tableau, or R Shiny.
- Experience managing data pipelines.
- Leadership and mentoring experience within data science teams.
- Familiarity with AWS services is a plus.
Work-Life Balance & Career Growth:
AWS promotes a healthy work-life balance with flexible hours and career growth opportunities. Mentorship, continuous learning, and a culture of inclusion are core aspects of AWS’s working environment.
Compensation:
Base pay ranges from $143,300/year to $247,600/year depending on location and experience. Additional compensation may include equity, sign-on payments, and comprehensive benefits packages.