Technical Lead-App Development

Job Description

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.