RPA- AI/ML Consultant

Area(s) of responsibility

• Assess the feasibility of automating complex business processes using Automation Anywhere from technical perspective and perform due diligence to arrive at an optimal solution.
• Identify opportunities during solution design to integrate RPA with Artificial Intelligence/Machine Learning (AI/ML), Natural Language Processing (NLP), or Optical Character Recognition (OCR) for intelligent automation.
• Define the technical standards and best practices for automation development to be followed by the team.
• Ensure the implementation of robust security measures, such as data encryption and role-based access controls (RBAC), to protect sensitive information.
• Work with RPA Developers and RPA QAs on platform related issues and provide plausible suggestions for improvements.
• Review the SDD for alignment with optimal solution strategy.
• Timely raise any issues identified to Technical Project Manager so that the quality and turnaround time are not impacted.
• Propose process improvement or re-engineering for business processes in automation scope.
• Maintain a bot library of re-usable components to enable efficient use-case complexity analysis.
• Provide continuous advice to RPA developers, RPA QAs, Technical Project Manager during project delivery.
• Review all work (Requirement, Solution, Design, Code, issues) produced by project team.
• Designing automation processes as per the operational needs of a business process.
• Create reusable components, frameworks, and best practices to streamline bot development.
• Develop bots to meet the defined design/solution approach.
• Develop advanced bots leveraging features like IQ Bot, Bot Insight, Document Automation and Automation Anywhere Robotic Interface (AARI) for intelligent automation.
• Collaborate with business analysts to refine processes for RPA implementation.
• Build, configure, evaluate, and deploy scalable bots using Automation Anywhere tools.
• Optimize bot performance by finetuning workflows, minimizing execution time, and reducing resource usage.
• Leverage advanced Automation Anywhere features, such as:
• IQ Bot and/or Document Automation for document processing, intelligent data extraction, conversion to structured usable data.
• Bot Insight for real time analytics and reporting.
• AARI for human bot collaboration.
• Control Room APIs for web-service based interaction with other systems.
• Workload Management (WLM) for large data set processing with multi-bot architecture.