RPA Engineer

Job Overview

The AI Engineer is responsible for designing, building, and supporting intelligent automation and AI-driven solutions that improve operational efficiency, accuracy, and customer experience. This role blends traditional RPA with modern AI capabilities including Agentic AI, Generative AI, Intelligent Document Processing, and Machine Learning to automate and augment end-to-end business processes.

Responsibilities include but are not limited to:

• Analyze current-state business processes and identify opportunities for automation and AI-driven enhancement.
• Design, develop, and maintain automation solutions using RPA platforms (e.g., UiPath) and AI services.
• Build and support intelligent workflows that integrate AI Agents, decision logic, and orchestration across enterprise systems.
• Develop and maintain Intelligent Document Processing (IDP) solutions leveraging OCR, document classification, data extraction, and validation techniques.
• Collaborate with business and technology stakeholders to translate requirements into scalable automation and AI solutions.
• Create and maintain technical documentation, solution designs, process maps, and operating procedures.
• Perform testing, monitoring, and optimization of deployed automation and AI solutions to ensure reliability and performance.
• Gather and analyze process and model performance metrics to drive continuous improvement.
• Provide operational support and enhancements for existing automation and AI solutions.

Required Skills:

• Understanding of business process analysis.
• Understanding of the principles and common frameworks of successful business process analysis and change management.
• Understanding of Robotics Process Automation (RPA) and tools, such as UiPath.
• Understanding of AI tools and industry trends.
• Proven ability to understand business processes and translate business requirements into application functionality.
• Working knowledge of macro creation, as well as programming and SQL languages.
• Experienced usage of the MS Office toolset (Word, Excel, PowerPoint, Visio).
• Proven experience in providing service to internal stakeholders to achieve successful project outcomes.
• Demonstrated capability for problem solving, decision making, sound judgment, assertiveness.
• Strong analytical and troubleshooting skills — general scripting skills a plus.

Preferred Skills:

• Experience creating AI/ML automation processes or bots in a banking or finance capacity, with a focus on document and data processing, is highly desired.
• Experience with LangGraph is a huge plus.
• Experience with Agentic AI and AI workflow orchestration.
• Exposure to Generative AI (LLMs, prompt engineering, copilots, or AI assistants).
• Experience building or supporting Intelligent Document Processing (IDP) solutions.
• Knowledge of OCR, Computer Vision, and document classification/extraction techniques.
• Familiarity with Machine Learning concepts, model integration, or ML platforms.
• Experience integrating AI and automation solutions with enterprise platforms (e.g., CRM, ServiceNow, core banking systems).

Required Experience:

• High School Diploma or GED equivalent.
• Minimum of four (4) years of process analytics.
• Familiarity with RPA technology and AI technology.