# SDE2 - Enterprise Foundational AI (EFAI)

Enterprise Foundational AI (EFAI) accelerates Amazon's AI-native transformation by building, integrating, and scaling foundational AI products and experiences that power Amazonian productivity globally. We deliver two categories of work: (1) technical primitives - unified, secure, and intelligent building blocks that enable AI application builders to deliver faster without reinventing common capabilities, and (2) core AI products and experiences that solve end-to-end use cases highly common across Amazon and agnostic of organization or job role. Our solutions serve 500k+ Amazonians worldwide, making AI an embedded, intuitive part of how work gets done - not a separate tool to adopt, but a native layer woven into processes, decisions, and workflows.

We're seeking a Software Development Engineer (SDE2) to design, build, and scale the platforms and services that power our foundational AI products and technical primitives. You'll work closely with engineering, product, and science teams to architect robust, high-availability systems that integrate AI capabilities seamlessly into Amazon's enterprise tools and workflows.

## Key Job Responsibilities

- Design and implement scalable, high-performance services and APIs that power EFAI's core AI products and technical primitives

- Build and maintain automation platforms and workflow engines that enable AI-native experiences across Amazon

- Develop integrations between AI capabilities and enterprise tools, enabling seamless adoption across diverse workflows

- Own the full development lifecycle - from system design and implementation to testing, deployment, and operational excellence

- Build telemetry, instrumentation, and data pipelines that measure adoption, usage patterns, and business impact of AI products

- Design and implement secure, extensible APIs and building blocks that enable AI application builders across Amazon to move faster

- Contribute to architectural decisions and drive technical solutions for complex, cross-organizational integration challenges

- Write clean, maintainable, well-tested code and conduct thorough code reviews to maintain high engineering standards

- Build tooling and infrastructure that accelerates developer productivity within the team and across partner teams

- Collaborate with science teams to operationalize AI/ML models and integrate them into production systems

- Ensure systems meet security, privacy, and compliance requirements in coordination with Legal, Privacy, and Security teams

- Troubleshoot and resolve production issues, driving root cause analysis and implementing preventive measures

## A Day in the Life

- Participate in daily standups and sprint ceremonies with the engineering team

- Design and build features for AI-powered automation platforms and workflow engines

- Write and review code, focusing on scalability, reliability, and operational excellence

- Collaborate with partner teams to define and implement integration points for EFAI primitives

- Analyze system performance and usage telemetry to identify optimization opportunities

- Prototype new capabilities that leverage emerging AI technologies (e.g., agents, MCP, LLM orchestration)

- Work with product managers and stakeholders to translate requirements into technical designs

- Investigate and resolve operational issues, contributing to on-call rotations

- Contribute to design reviews and technical documentation

- Mentor team members through code reviews and technical guidance

Key job responsibilities

Key job responsibilities

1. Design and implement robust, scalable architectures for AI-powered applications.

2. Develop high-performance backend services to support AI model integration and data processing.

3. Create and maintain RESTful APIs for seamless interaction between AI models and front-end applications.

4. Design and implement microservices architecture to ensure modularity and scalability of the system.

5. Optimize code and database queries for handling large-scale data and high-concurrency scenarios.

6. Partner with UX/UI designers to understand user workflows and translate them into intuitive and user-friendly features

7. Leverage AWS services to build and deploy cloud-native applications.

8. Ensure the implementation of robust security measures and compliance with data privacy regulations.

9. Conduct thorough code reviews and mentor other engineers on the team to maintain high code quality standards.

10. Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Bachelor's degree in computer science or equivalent

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually