As an AI Privacy Specialist on the Workplace Trust Privacy and Responsible AI Review team, you will play a crucial role in building tooling to enhance privacy across Amazon's global employee, candidate, and contingent worker populations. Your focus will be identifying pain points in our privacy and AI review processes, then designing and developing innovative Generative AI solutions to address these challenges. You'll work closely with stakeholders to align our tooling framework with global regulation requirements while maintaining high standards for privacy and AI compliance.
In this role, you'll collaborate daily with privacy and AI reviewers, builders, and legal stakeholders to understand their workflows and challenges. A typical day might involve analyzing process data to identify bottlenecks, developing and testing Generative AI-powered solutions, including prompt engineering, to automate tasks during privacy reviews. You'll participate in agile team meetings to discuss progress and priorities, review code with fellow AI Privacy Specialists, and continuously iterate to improve the performance of implemented solutions. Regular tasks include troubleshooting technical issues, updating documentation, and providing guidance to team members on new GenAI tools. You'll also spend time staying current with emerging privacy regulations and AI developments, ensuring our tools remain compliant and effective.
The successful candidate leverages their background in compliance, engineering, data protection, data science, human resources, data governance, and/or data modelling to implement automation across the internal technology ecosystem.
Key job responsibilities
- Identify and analyze pain points in existing privacy and AI review processes
- Design and develop Generative AI tools to streamline and enhance team operations
- Maintain high standards for global privacy and AI compliance
- Work with a dynamic team to implement solutions in a fast-paced environment
- Develop audit reports, metrics, and reporting mechanisms
- Define technical requirements and specifications aligned with business needs
- Develop deep knowledge of employee privacy obligations and data privacy processes
- Consult on the development of business requirements for new system and model implementations
- Draft written narratives to communicate development initiatives
- Implement automation across the internal technology ecosystem
- Monitor and evaluate the performance of AI solutions
- Stay current with emerging privacy regulations and AI developments
- Provide technical guidance and support to team members
BASIC QUALIFICATIONS
- Experience in a privacy, AI, or data science role
- BA/BS degree or equivalent experience
- Familiarity with emerging privacy and AI regulations
PREFERRED QUALIFICATIONS
- Familiarity with back-end coding and AWS services
- Experience in Generative AI, including prompt engineering, AWS Bedrock
- Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
- Experience in privacy engineering, technical privacy review, software engineering, or data science
- Advanced degree in a related area (CS or Data Science)
- Relevant certifications such as AWS Cloud Practitioner, AWS AI Practitioner
- Experience working in a global, large-scale, complex, and fast-paced environment
- Ability to work in an ambiguous environment and drive forward results
- Experience coding in Python, Java, including code maintenance and review
- Problem solver, able to troubleshoot issues independently or escalate when necessary; sense of accountability and sound professional judgment
- Proven analytical capabilities; experience with large amounts of data and in developing audit reports, metrics, and reporting mechanisms
- Experience defining technical requirements and specifications and adapting requirements to technical and business needs
- Excellent written and verbal communication skills
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.