Privacy Engineer, Trust By Design, Devices & Services Trust, Privacy, And Accessibility (TPA)

Privacy Engineer

Devices & Services Trust, Privacy and Accessibility (TPA) organization is responsible for maintaining and raising the trust bar for Amazon customers across a diverse set of devices and services. We offer horizontal services for builders and customer-facing capabilities that provide customers to address trust needs of our global customers and to ensure compliance. The DSTPA team is looking for an experienced Privacy Engineer within our Trust by Design team to help product and engineering teams architect privacy-centric solutions that harmonize customer trust with innovation. This role will be instrumental in embedding trust-by-design and default principles from product inception through implementation and then maintenance, ensuring compliance with global privacy regulations while helping us build and scale products that inspire customer confidence through robust privacy controls and thoughtful data stewardship. The ideal candidate will excel at navigating complex trust scenarios independently, developing scalable privacy frameworks for emerging technologies like GenAI and Ambient Computing, and collaborating with cross-functional stakeholders to deliver innovative solutions that balance customer trust, user experience, and business objectives across our global customer base.

Key job responsibilities:

• Identify and assess customer trust risks throughout the product and data handling lifecycle, conducting thorough technical risk assessments
• Work with engineering teams to integrate trust-by-design and trust-by-default principles into system and product development, ensuring technical trust-preserving controls are considered from the outset, not retrofitted later
• Work with engineering teams to develop, implement, and maintain technical and procedural customer trust controls, such as data minimization, anonymization, encryption, retention and deletion, and ingress/egress restrictions
• Test and validate customer trust controls through the development and execution of test cases, ensuring operational behavior aligns with trust requirements and policies
• Document and track customer trust issues, inconsistencies, and remediation plans, ensuring timely closure and lessons learned are shared across teams
• Support deployment and maintenance of "paved paths"—standardized, scalable customer trust solutions and guidance to prevent recurrence of known risks and streamline compliance for product teams
• Collaborate with legal, compliance, engineering, and product teams to bridge the gap between policy and technical implementation, ensuring customer trust is an enabler for business objectives
• Create centralized tooling and systems that help the Trust by Design function to move fast while meeting our obligations
• Identify and execute on opportunities to improve the culture and capacity of the Trust by Design team across D&S
• Design and implement LLM-powered solutions for automating complex privacy analysis tasks, including policy interpretation, risk assessment workflows, and compliance gap identification that require advanced reasoning and contextual understanding
• Develop sophisticated prompt engineering strategies and frameworks to enable LLMs to perform complex privacy-related reasoning tasks, such as analyzing system architectures for trust implications, generating privacy control recommendations, and automating privacy impact assessments

A day in the life:

In this role, no two days are the same—and that's by design. You'll spend a good part of your time engaging with a wide range of cross-functional partners across product, legal, policy, risk, science, UX, and other engineering teams to gather insights, clarify trust requirements, and uncover both issues and opportunities. You'll participate in frequent brainstorming sessions to shape new ideas, solve complex trust problems, and fix system design and engineering issues that address not just immediate needs, but also set us up for long-term success. Staying connected is key: you'll attend cross-org syncs to stay informed on evolving strategies and dependencies, while also representing your work in key forums. You'll help drive the D&S engineering and product teams to build products, services, and devices that are responsible, innovative, and aligned with our broader vision of trust and customer impact.

About the team:

Trust Fundamentals Operations (TrustFunOps) is a "horizontal" organization responsible for building technologies, programs, and services at Amazon scale that instill and grow customer trust, create mechanisms to confidently attain existing and ever-evolving regulatory objectives, and ensure the efficiency and effectiveness of our business partners and stakeholders to meet their trust obligations without disruption—in that order of priority. Within TrustFunOps, Trust by Design function empowers teams within Devices & Services to deliver trusted, privacy-forward, and accessible experiences to our customers by providing proactive, risk-intelligent guidance with closed-loop validation. TrustFunOps is dedicated to supporting new members. We have a broad mix of job families, experience levels and tenures, and are building an environment that celebrates subject matter expertise, collaboration, knowledge sharing, and mentorship.

Basic Qualifications:

• Bachelor's degree in computer science or equivalent
• 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
• 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience

Preferred Qualifications:

• Proficiency in privacy and trust-enhancing technologies and secure system design
• Experience with privacy and trust risk management and engineering frameworks, regulatory compliance, and AI domain expertise
• Excellent communication and collaboration skills for cross-functional teamwork
• Experience with Large Language Models (LLMs) and Generative AI technologies, including hands-on experience building solutions that leverage AI for complex analytical and reasoning tasks
• Demonstrated expertise in prompt engineering and LLM optimization, with proven ability to design prompts that enable AI systems to perform sophisticated reasoning for privacy and trust-related use cases

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.