UiPath RPA Dev Lead Irving - TX - Texas

Summary

In this role, you will be the technical delivery leader for enterprise Intelligent Automation initiatives. You will determine the appropriate technologies, solution architecture, engineering approach, technical skills, and support model required for successful delivery.

You will lead AI Automation Engineers and Senior AI Automation Engineers across multiple initiatives and remain accountable for technical quality, delivery success, production readiness, and operational support. You will partner with the Manager, AI Intelligent Automation, who owns intake, funding, prioritization, staffing, and portfolio flow, and with the Director to execute the enterprise transformation roadmap.

Qualifications

Relevant degree preferred.

12+ years of software engineering, enterprise automation, or platform engineering experience.

8+ years of enterprise UiPath engineering experience.

5+ years leading technical teams or complex enterprise automation initiatives.

Proven experience designing and delivering large-scale enterprise automation ecosystems.

Experience owning solution architecture, engineering standards, delivery lifecycle, and production support.

Experience defining technical skills, effort, architecture, and delivery plans for multiple initiatives.

Strong technical leadership, executive communication, stakeholder management, and decision-making skills.

Technical Skills & Technologies

The ideal candidate has strong hands-on experience across many of the following areas:

Enterprise Intelligent Automation: UiPath, Microsoft Power Platform, enterprise RPA platforms

AI-Enabled Automation: Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining

Solution Architecture & Integration: Enterprise architecture, API integration, event-driven patterns, Python, C#, .NET, SQL

Cloud & Engineering Platforms: Microsoft Azure, Azure OpenAI, Azure DevOps, Git, CICD, cloud-native services

Engineering Lifecycle & Operations: SDLC, Agile, DevSecOps, observability, production readiness, incident management, root-cause analysis