Sr. Automation Engineer (RPA), AR Automation

Job ID: | ADCI HYD 13 SEZ - H84

We are seeking an innovative Automation Engineer (RPA) 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 Amazon's 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 Design and develop automation solutions using AI, ML, LLMs, AWS services, and RPA tools like UiPath. 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 team's automation strategy through knowledge sharing and best practices. Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related fields. Knowledge of one or more scripting languages (e.g., Python, Ruby, Perl). Experience identifying and improving business processes. Experience in stakeholder and communication management. 3+ years of experience in RPA development or automation. Hands‑on experience with at least one RPA tool (UiPath / Automation Anywhere / Blue Prism). Excellent knowledge of databases (SQL) and APIs. Strong problem‑solving and analytical skills. Preferred Qualifications Experience with AI/ML technologies. Experience with AWS or cloud technologies. Experience in Finance, HR, or Supply Chain automation processes.

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