About the job
Amazon Finance Transformation team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability by exploring new techniques in ML and AI and building full stack services in AWS. This Agent-first Finance builders team will lead Finance Application Architecture, designs for automating decks, predicting outcomes, automation financial workdlows, forecasting values with high degree of automation and ML Ops for existing engineering pipelines and frameworks.
Responsibilities
You will utilize GenAI-assisted software development on a daily basis that integrates with artificial intelligence tools like Amazon Q Developer into builder workflows to generate & optimize code, build tests, explain unfamiliar code, and learn new languages or APIs, effectively boosting your team’s productivity and code quality. Throughout the software development lifecycle, you will deploy AI tools, agents, use Model Context Protocol (MCP) and large language models (LLMs) to assist in multiple phases - from requirements analysis to coding and testing.
Qualifications
Minimum
3+ years of non-internship professional software development experience
2+ years of non-intternship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Preferred
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field