Job Description
Come build the future of privacy and responsible AI with us! To get there, we need exceptionally talented, bright, and driven people. We work in a fast-paced environment across multiple industries, never losing our passion for customers.
As an Software Development Engineer (SDE) on the Workplace Trust Privacy and Responsible AI Review team, you will play a crucial role in building tooling to enhance compliance across Amazon"s global employee, candidate, and contingent worker populations. Your focus will be designing and developing innovative Agentic AI solutions to automate compliance at scale. You"ll work closely with stakeholders to align our processes and 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 Agentic AI-powered solutions to automate tasks as part of privacy or responsible AI reviews. You"ll participate in agile team meetings to discuss progress and priorities, review code with teammates, 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 AI tools. You"ll also spend time staying current with emerging 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 Agentic 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 and responsible AI 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 regulations and AI developments
- Provide technical guidance and support to team members
Numbers & Facts
| Location | Boston, MA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
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Skills
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Audit Metricsunmatched
- Automationunmatched
- Business Developmentunmatched
- Code Reviewsunmatched
- Consultingunmatched
- Continuous Improvementunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Scienceunmatched
- Documentationunmatched
- Ecosystemsunmatched
- Human Resourcesunmatched
- Identify Issuesunmatched
- Information/Data Security (InfoSec)unmatched
- Legalunmatched
- Machine Toolunmatched
- People Managementunmatched
- Performance Managementunmatched
- Process Analysisunmatched
- Regulationsunmatched
- Regulatory Requirementsunmatched
- Reporting Skillsunmatched
- Requirements Managementunmatched
- Riskunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Team Playerunmatched
- Technical Leadershipunmatched
- Technical Supportunmatched
- Test Plan/Scheduleunmatched
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
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