Enterprise RPA Solution Architect

6 days ago

Allahabad, Uttar Pradesh, India beBeeAutomation Full time ₹ 15,00,000 - ₹ 22,50,000
Job Title

We are seeking a seasoned Automation Professional to lead the design and deployment of enterprise-scale RPA solutions.

This role requires not just a developer but a strategic technologist who can architect end-to-end automation frameworks, integrate advanced cloud capabilities, and drive transformational efficiency gains.

Key Responsibilities:
  • Lead design and architecture of RPA solutions, ensuring scalability and maintainability.
  • Design reusable frameworks, best practices, and governance models for RPA implementations.
  • Collaborate with stakeholders to understand business requirements and translate them into robust RPA solutions.
  • Provide technical leadership throughout the development lifecycle and ensure adherence to best practices.
  • Integrate RPA with enterprise cloud environments, leveraging expertise in VDIs, Virtual Machines, and Kubernetes.
  • Document solution architecture and technical designs.
  • Conduct technical presentations, workshops, and knowledge sharing sessions for internal and external stakeholders.
  • Implement attended & unattended automation with Citrix/legacy system automation.
  • Diagnose and resolve performance bottlenecks, exceptions, and deployment issues.
  • Optimize bot efficiency, resource utilization, and exception handling.
  • Ability to find alternate and propose solutions in case RPA feasibility / implementation challenges
Requirements:
  • At least 8–10 years' experience in RPA with proven solution architecture responsibilities.
  • Expertise in UiPath platform architecture and ecosystem—mandatory.
  • Hands-on practical knowledge of cloud infrastructure (e.g., Azure, AWS), virtualization concepts, VDIs, Virtual Machines, and Kubernetes (good to have) orchestration.
  • Clear track record of architecting and delivering large-scale RPA solutions.
  • Excellent communication, stakeholder management, and presentation skills—able to confidently articulate and sell technical concepts to both business and technical audiences.
  • Knowledge of OCR tools (ABBYY, Google Vision, Azure Form recognizer), AI/ML models & GenAI
  • Should have knowledge on API implementation
  • Strong problem-solving abilities and attention to detail.

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