Ai/privacy Engineer, Ops Trust

Amazon.com Job Opportunity

At Amazon.com, we strive to be Earth's most customer-centric company. We work towards a single goal: to ensure the best experience for our customers. To do that, we empower our people to think like owners and solve problems right the first time. As a team, we are focused on continuously improving and setting new standards in global operations. You have to thrive in the type of environment that is constantly going and growing. In the words of Jeff Bezos, "Many of the problems we face have no textbook solution, and so we happily invent new ones."

The purpose of the Ops Trust team is to manage privacy and AI compliance for the Worldwide Operations (WW Ops) Organization. The candidate acts as an AI/privacy subject matter expert and works with legal and developers to support our strategic vision. The candidate understands technicalities of developing software applications as well as legal privacy and AI requirements and can ensure that applications technically align to these legal requirements.

Key job responsibilities:

• Expert on requirements for holistic assessment of AI safety risks focusing on areas like privacy, fairness, and robustness.
• Drive the development and implementation of Privacy by Design solutions. Develop PbD technical architecture for applications.
• Create solutions for AI safety standards and assist builders through implementation.
• Work with builders and developers to conduct in depth privacy and AI risk reviews and guide builders through their design, ensuring that appropriate obligations are met.
• Maintain a strong understanding of privacy and AI regulatory developments and standards.
• Manage multiple projects simultaneously with a sense of urgency.
• Comfortable dealing with ambiguity and using data to drive results.
• Autonomously perform operational deep dives on AI related processes and systems and engineer mitigating measures to produce scalable solutions.
• Work collaboratively with internal stakeholders across WW Ops, Legal, and federated privacy and AI compliance teams to ensure privacy and AI safety are considered in projects and decisions.