RPA Engineer , AR Automation

We are seeking an innovative Automation Engineer to join our Accounts Receivable Automation 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 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 teams automation strategy through knowledge sharing and best practices

- UiPath Certified Professional Developer certification
- - UiPath Certified Professional Developer certification
- - Experience programming with at least one software programming language or experience in developing and deploying LLMs in production on GPUs or other AI acceleration hardware
- - Hands-on experience with UiPath Automation Anywhere or Blue Prism.
- - Experience in Python (for AI libraries) and/or C#/.NET (for RPA framework customization).
- - Experienced in consuming RESTful APIs JSON XML and SQL querying.

- - Experience developing deploying and managing AI products at scale
- - Experience in creating process improvements with automation and analysis or experience working with large-scale data mining and reporting tools (i.e. SQL MS Power Query Python)
- - Experience using data to drive root cause elimination and process improvement
- - Integrate LLMs with private enterprise data sources (PDFs databases internal documents) using embeddings and vector search techniques to retrieve contextually relevant information and ground AI outputs in factual data.

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