Software Development Engineer Trust and Privacy, Devices & Services Trust, Privacy, and Accessibility (TPA)

Devices & Services Trust Privacy and Accessibility (DSTPA) is responsible for maintaining and raising the trust bar for Amazon customers across a diverse set of 30 Devices and Services. We offer horizontal platforms and services that enable builders to integrate trust into products seamlessly. We also build customer-facing capabilities that provide control and transparency while enabling partner teams to innovate with appropriate guardrails for content moderation privacy customer promises accessibility fairness and trust.

The DSTPA team is seeking an exceptional Software Development Engineer to architect and scale Gen AI-powered platforms and development tools that champion trustworthy customer experiences privacy-by-design principles and organizational trust at scale. This role will help set the standard for how privacy and trust technologies are implemented across D&S driving end-to-end adoption of solutions that make trustworthy customer experiences the automatic choice for teams across Amazon.

The ideal candidate will excel at architecting scalable software solutions for complex technical challenges developing innovative frameworks for emerging technologies like Model Context Protocol and agentic AI systems and collaborating with cross-functional engineering teams to deliver solutions that balance customer experience technical excellence and business objectives across our global customer base.

Key job responsibilities
Software Development & Architecture
- Lead strategic engagement with cross-functional partners across product engineering and science teams to define technical requirements and drive innovative solutions
- Architect and develop next-generation AI solutions including agentic AI systems multi-agent orchestration frameworks and Model Context Protocol (MCP) implementations
- Lead initiatives in fine-tuning large language models designing retrieval-augmented generation (RAG) architectures and establishing enterprise-scale vector database infrastructures optimized for semantic search and AI workloads

System Design & Innovation
- Facilitate high-impact technical design sessions to architect scalable solutions for complex engineering challenges and establish system design patterns that deliver sustainable outcomes
- Drive teams to build responsible innovative products and services that set industry standards for customer impact and technical excellence
- Own the design implementation and evolution of standardized backend frameworks and development tools that scale across the organization

Platform & Infrastructure
- Architect and deploy production-grade services on AWS using cloud-native architectures implementing infrastructure-as-code and engineering best practices to support highly scalable and reliable systems
- Design and implement centralized tooling platforms and automation systems that enable engineering teams to move fast while maintaining high quality standards
- Build and optimize distributed systems APIs and data pipelines that support large-scale AI and machine learning workloads

Technical Leadership & Collaboration
- Mentor engineers and influence engineering culture around software development best practices system design and technical innovation
- Lead cross-functional collaboration to drive consensus on complex technical decisions and architectural patterns
- Define success metrics and KPIs for engineering initiatives demonstrating measurable impact on system performance developer productivity and customer experience

A day in the life
You will:
- Lead strategic engagement with cross-functional partners to define trust requirements and drive organizational opportunities.
- Facilitate high-impact sessions to architect solutions for complex trust problems and establish scalable system design patterns.
- Drive teams to build industry-leading responsible products that set trust standards.
- Architect next-generation AI solutions including agentic AI systems multi-agent orchestration and MCP implementations.
- Lead initiatives in fine-tuning LLMs designing RAG architectures and establishing enterprise-scale vector database infrastructures optimized for semantic search and AI workloads.

About the team
Trust Fundamentals Operations (TFO) within DSTPA 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.

TFO 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.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience building complex software systems that have been successfully delivered to customers

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution
- Must be a good human
- Must work well with others and be a team player have high moral standards lead with integrity and empathy

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