
Overview
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Job Description
Key Responsibilities:
Design, develop, and deploy scalable RPA solutions using UiPath Studio, Orchestrator, and other UiPath components.
Leverage Generative AI models (OpenAI, Azure OpenAI, etc.) within UiPath to augment RPA workflows for intelligent document processing, natural language interaction, and dynamic decision-making.
Build Agentic AI automations using UiPath Autopilot/Agents to simulate human-like proactive and goal-driven task execution.
Configure and manage AutoHeal capabilities to proactively detect, diagnose, and remediate bot failures or performance issues.
Collaborate with business analysts and stakeholders to understand automation opportunities and design innovative solutions.
Develop reusable components and implement best practices for error handling, logging, exception management, and security.
Integrate UiPath with APIs, databases, cloud services (Azure, AWS), and enterprise applications like SAP, Salesforce, etc.
Maintain documentation, participate in peer reviews, and ensure high standards of code quality and process compliance.
Stay updated with the latest UiPath features, AI integrations, and contribute to POCs and automation roadmap planning.
Required Skills:
5-7 years of experience in RPA development, primarily with UiPath.
Strong understanding of UiPath Architecture and components (Studio, Orchestrator, Assistant, Apps).
Hands-on experience with Generative AI integration within UiPath workflows.
Familiarity with building and managing Agentic AI processes using UiPath Autopilot or Agents.
Experience with AutoHeal features including monitoring, exception tracking, and automated resolution.
Proficiency in VB.NET, C#, or Python scripting for custom components.
Exposure to AI Center, Document Understanding, and UiPath Marketplace packages.
Working knowledge of REST/SOAP APIs, JSON/XML, and integration best practices.
Experience with CI/CD pipelines and version control tools (Git, Azure DevOps).
Excellent problem-solving, debugging, and communication skills.