We are seeking an innovative Automation Engineer to join our Accounts Receivable Automation team at Amazon. In this role, you will leverage modern technologies including AI, Machine Learning, Large Language Models (LLMs), and traditional RPA tools to transform our financial operations.
Join our Finance Operations team to design and implement intelligent automation solutions that operate at Amazons unprecedented scale. You will work with diverse stakeholders to analyze existing processes, architect future-state solutions, and deliver high-impact automations that drive operational excellence.
Key job responsibilities

Responsibilities:

• Design and develop automation solutions using AI, ML, LLMs, AWS services, and RPA tools like Ui Path
• Optimize and maintain existing automations, including SQL query optimization and database management
• Partner with stakeholders to gather requirements, create technical specifications, and ensure solutions meet business objectives
• Lead multiple concurrent automation projects from inception to deployment while meeting established timelines
• Implement robust error handling, monitoring, and testing procedures to ensure automation reliability
• Coordinate with cross-functional teams to integrate solutions across various financial systems and processes
• Provide technical consultation on automation possibilities and maintain solution documentation
• Stay current with emerging technologies and contribute to the teams automation strategy through knowledge sharing and best practices

Basic Qualifications

• Bachelor's degree in Computer Science, Software Engineering, MIS, or a related field
• Experience building complex software systems that have been successfully delivered to customers
• Experience in corporate finance including budgeting/planning, forecasting and reporting
• Experience working with technical and business stakeholders from global cross-functional teams

Preferred Qualifications

• Experience in a test-driven and formal QA development environment, including development, staging, production (or equivalent) deployment cycles
• Experience working in an Agile or Scrum environment
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