Intelligent Automation Solutions Architect We are looking for a talented professional to support us in a strategic project for a client, acting as an architect for complex intelligent automation solutions.
Roles and Responsibilities:Design the architecture of complex intelligent automation solutions. Developing/coding parts of the solutions may be required occasionally.Develop high-level and detailed solution designs, ensuring they meet scalability, reliability, and security standards.Be the end-to-end technical lead, as well as ensure the engagement of all necessary parties.Optimize automation workflows by integrating GenAI, ML, IDP, and analytics where applicable.Provide technical leadership and guidance to intelligent automation development teams throughout the project lifecycle.Troubleshoot and resolve technical issues related to intelligent automation implementations.Perform code reviews and enforce coding standards within the RPA development team.Work closely with IT and infrastructure teams to integrate automation solutions with enterprise applications and cloud platforms.Adaptability and flexibility with respect to technologies, environment, and work schedules, as we work with global clients.Ability to accurately estimate project efforts and timelines at the project initiation phase, including risks, dependencies, and appropriate constraints.What We Are Looking For:Problem-solving skills and attention to detail.Ability to work collaboratively in a team and communicate effectively with stakeholders.Experience designing and implementing scalable, optimized, and secure intelligent automation solutions for enterprise-level applications.Excellent organizational and communication skills to interact with multidisciplinary teams and stakeholders at various levels.Job Requirements:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.5+ years of experience in intelligent automation, with at least 3 years as a Solution Architect.Strong understanding of intelligent automation best practices, governance, and lifecycle management.Expertise in Automation Anywhere A360 and earlier versions.Experience in integrating GenAI, ML, and IDP into intelligent automation solutions.Proficiency in scripting languages such as Python, VBScript, C#, or JavaScript.Automation Anywhere certifications.Experience with automation orchestration tools and frameworks to manage complex intelligent automation workflows.Deep understanding of Automation Anywhere Control Room administration and bot lifecycle management.Knowledge and understanding of generative AI techniques, including deep learning, neural networks, and natural language processing.Fluent in English.Differential Knowledge:Knowledge of cloud platforms services like AWS, Azure, or Google Cloud.Experience in working with APIs, microservices, and system integrations.Knowledge of Automation Anywhere IA Agents, IA Studio, Enterprise Knowledge, and Document Automation products.Other certifications and trainings in the intelligent automation field.