Principal Responsible AI Data Science Specialist, Generative AI Innovation Expert

7 days ago

Austin, Texas, United States Amazon Full time

Opportunity Overview

This exciting role is an opportunity to shape the future of Artificial Intelligence and drive 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 pivotal role, you will play a key part 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.

The 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, including techniques for mitigating bias, ensuring fairness, vulnerability assessments, red teaming, model evaluations, hallucinations, grounding model responses, and maintaining transparency in generative AI models.

You'll evangelize Responsible AI (RAI), help customers shape RAI policies, develop technical assets to support RAI policies including demonstrating guardrails for content filtering, redacting sensitive data, blocking inappropriate topics, and implementing customer-specific AI safety policies.

The assets you develop will equip AWS teams, partners, and customers to responsibly operationalize generative AI, from proof-of-concept to production workloads. You will engage with policy makers, customers, AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.

About the Role

In this position, you will interact with AI/ML scientists and engineers, develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You may also create enablement materials for the broader technical field population, to help them understand RAI and how to integrate AWS services into customer architectures.

You must have a deep understanding of Generative AI models, including their strengths, limitations, and potential risks. You should have expertise in Responsible AI practices, such as bias mitigation, fairness evaluation, and ethical AI principles. In addition, you should have hands-on experience with AI security best practices, including vulnerability assessments, red teaming, and fine-grained data access controls.

Key Responsibilities

  • 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.

About Us

At Amazon, we value diverse experiences and encourage candidates to apply, even if they don't meet all the qualifications and skills listed in the job description. We strive to be an inclusive and welcoming workplace where everyone feels valued and respected.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. Our employee-led affinity groups foster a culture of inclusion that empowers 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.

Basic Qualifications

  • 5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience
  • 4+ years of data scientist experience
  • Experience with statistical models e.g., multinomial logistic regression
  • Bachelor degree in Business, Science or related technical, math, or scientific field

Salary: $143,300 - $247,600 per year

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