RPA + AI

1. RPA Developer / Engineer: Designs, builds, and deploys automation scripts using platforms like UiPath, Automation Anywhere, or Blue Prism.
   
   
2. AI Automation Specialist: Integrates AI models (like LLMs or computer vision) into RPA workflows to handle unstructured data and complex decision-making.
   
   
3. Intelligent Automation Architect: Leads high-level system design and ensures that automation solutions are scalable and secure across an enterprise.
   
   
4. RPA Business Analyst: Identifies and documents business processes suitable for automation, often creating Process Definition Documents (PDDs).
   
   
5. AI Training / Data Specialist: Focuses on fine-tuning and evaluating AI models by labeling data or testing model responses to improve accuracy.
   
   
6. Prompt Engineer: Develops and optimizes prompts to ensure AI models deliver high-quality, relevant outputs within automated workflows.
   
   

Key Skills & Platforms

Tools: UiPath, Automation Anywhere A360, Microsoft Power Automate, and Blue Prism.

Programming: Python, SQL, .NET, and C# are commonly required for custom script development and API integration.

AI/ML Concepts: Understanding of Large Language Models (LLMs), Agentic AI, and Machine Learning frameworks like Tensor Flow or PyTorch.