The AI Engineer will analyze business processes for automation opportunities, design and maintain RPA solutions, and develop Intelligent Document Processing systems while collaborating with stakeholders and ensuring reliability of solutions.
Job Summary & Responsibilities
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 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 trouble shooting skills -- general scripting skills a plus.
Preferred Skills:
- 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.
Preferred Experience:
- Bachelor of Science in Computer Science, MIS, or related degree.
- Financial industry or banking background.
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As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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