Automation Architect (RPA)
Role details
Job location
Tech stack
Job description
We are seeking a highly experienced Automation Architect with deep expertise in enterprise intelligent automation, Agentic AI Systems, hyper automation, and AI-driven workflow orchestration. The ideal candidate will architect and lead next-generation automation ecosystems that combine RPA, AI/ML, NLP, intelligent document processing, process intelligence, and autonomous AI agents to transform enterprise operations at scale. This role requires strong hands-on experience with advanced AI orchestration frameworks, multi-agent systems, autonomous workflows, tool-calling architectures, and enterprise automation platforms including UiPath AI Center, UiPath Automation Hub, UiPath Process Mining, UiPath Communications Mining, Automation Anywhere Bot Insight, and ABBYY Vantage. The Automation Architect will lead enterprise automation strategy, AI-enabled workflow transformation, governance frameworks, and scalable AI automation platform development across complex enterprise environments.
Required Automation & AI Platforms: (Mandatory) UiPath AI Center UiPath Automation Hub UiPath Process Mining UiPath Communications Mining Automation Anywhere Bot Insight ABBYY Vantage
Requirements
Agentic AI Systems Multi-agent orchestration Autonomous workflows Tool-calling systems AI Agent Architecture Enterprise AI Orchestration AI-powered workflow automation Autonomous AI decision frameworks AI agent integration with enterprise systems Intelligent workflow reasoning systems, 10+ years of experience in intelligent automation, RPA architecture, enterprise AI solutions, or workflow orchestration Proven experience designing and implementing enterprise-scale automation programs Strong hands-on expertise with Agentic AI Systems and enterprise AI orchestration Experience building scalable autonomous workflows and AI-driven automation ecosystems Strong expertise in API integrations, workflow orchestration, and enterprise application connectivity Experience with AI/ML-enabled automation platforms and process intelligence solutions Strong programming/scripting skills in Python, JavaScript, C#, or Java Experience with cloud platforms such as AWS, Azure, or Google Cloud Knowledge of enterprise integration patterns, microservices, and event-driven architectures, Master s degree in Computer Science, Information Systems, Engineering, AI, or related field preferred
- Bachelor s degree in Computer Science, Engineering, Information Technology, or related discipline