Software Development Engineer

Are you passionate about solving complex problems using Artificial Intelligence? Do you enjoy finding patterns and pushing the boundaries of current possibilities? Are you interested in building high-performance, globally scalable systems that support Amazon's growth? If so, Amazon Finance Technology (FinTech) is the perfect place for you

At Fintech Fintelligence, our mission is to build AI and GenAI solutions for Amazon's Finance and Global Business Services, enhancing productivity, accelerating decision-making and automating workflows that depend on specialized human intelligence and heuristics. Our focus is on rapid execution, advanced scaling, improved auditability and delivering an exceptional customer experience. We develop thriving AI platforms that require expertise in traditional and generative ML techniques, computer science fundamentals, statistical methods and coding skills. Continuously innovating, we add new services to address real-world problems through research and innovation, building state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems that are both accurate and fast.

Key job responsibilities
We are seeking an innovative and technically strong software development engineer to join our team building advanced generative AI solutions. In this role, you'll architect and lead the development of next-generation AI-powered applications that transform customer experiences across our product portfolio. You'll collaborate with world-class engineers and AI/ML scientists to solve complex technical challenges, establish best practices for AI system design, and mentor junior engineers while driving technical excellence. This position offers a unique opportunity to shape the future of Amazon financial applications, all while growing your technical leadership skills in one of the most rapidly evolving and impactful areas of modern computing.

* Lead the technical design and architecture of complex software systems that leverage generative AI technologies. Drive the development of scalable, resilient, and high-performance services that power advanced AI applications.
* Collaborate with AI/ML scientists to translate research innovations into production-ready software solutions.
* Establish engineering standards for system performance, reliability, and responsible AI implementation. Provide technical leadership in designing and implementing robust testing, evaluation, and monitoring frameworks for AI applications.
* Lead technical deep-dives to resolve complex issues in systems, including model performance, latency optimization, and scalability challenges. Identify opportunities for innovation and technical improvement within our software stack.
* Drive cross-team collaborations to integrate generative AI capabilities across Amazon's product ecosystem. Represent the team in cross-organizational technical discussions and planning sessions.
* Balance technical trade-offs and business requirements when implementing solutions.
* Develop strategies for responsible AI deployment, including appropriate safeguards, monitoring systems, and mitigation approaches.
* Mentor junior engineers on software development best practices and technical implementation strategies. Contribute to hiring and growing engineering talent within the organization.

A day in the life
As an SDE at Amazon FinTech, you will balance technical leadership responsibilities with hands-on development work. You will guide your team through technical challenges by providing architecture direction and helping unblock junior engineers facing complex problems. You will drive architectural decisions for new features, weighing trade-offs between performance, scalability, and implementation complexity. While designing high-level system components, you will dive deep into code, implementing critical functionality and reviewing team members' contributions with detailed, educational feedback that elevates overall code quality. Your technical leadership will extend beyond your immediate team as you collaborate with product managers to refine requirements and coordinate with partner teams on integration strategies for cross-functional initiatives. You will contribute to strategic technical planning by evaluating emerging technologies, identifying optimization opportunities within existing systems, and shaping the technical roadmap. You will participate in hiring interviews, helping maintain Amazon's high engineering standards while building a strong, diverse team. Along the way, you'll learn a ton, have fun and make a positive impact at scale.

About the team
We are a tight-knit group that shares our experiences and help each other succeed. We believe in team work. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers.

Join us and be a part of our dynamic team, driving the future of financial technology at Amazon.

Basic Qualifications:
- 1+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Experience with data structures, algorithms, software design principles and databases
- Knowledge of computer science fundamentals including object-oriented design, algorithms, and problem-solving
- Ability to work in a fast-paced team environment and effectively communicate technical concepts

Preferred Qualifications:
- Bachelor's degree in computer science or equivalent
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Familiarity with large language models (LLMs) and generative AI architectures
- Familiarity with cloud services, particularly AWS AI/ML offerings
- Demonstrated interest in staying current with rapidly evolving AI technologies and research

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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