Seeking a RPA AI Lead / Engineer with 12+ years of experience in UiPath and Microsoft Power Platform (Power Apps, Power Automate, Power BI), specializing in designing, developing, integrating, and governing enterprise-scale automation solutions while driving CoE, security, and operational excellence initiatives.
Experience: - 12+ Years
Location: - Irving, TX / Edina, MN, (Hybrid 3 days' Work from Office)
Tentative Duration: - 6 months +
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
12+ years of software engineering, enterprise automation, or platform engineering experience.
5+ 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.
Ability and willingness to come in person interview and 3 days' work from office.
Technical Skills & Technologies
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
Software Engineering & Integration: Python, C#, .NET, REST APIs, SQL, Git, CI/CD, enterprise integration
Cloud & Platform Services: Microsoft Azure, Azure OpenAI, Azure DevOps, cloud-native services
Engineering Practices: Solution design, automation frameworks, SDLC, Agile, DevSecOps, observability, production support
Roles and Responsibilities
Own solution architecture and technical delivery for enterprise automation initiatives.
Select the appropriate technology, platform capabilities, integration approach, and engineering patterns for each initiative.
Define the skills, roles, effort, technical dependencies, and delivery approach required for successful execution.
Lead multiple engineers, including Senior AI Automation Engineers, through design, development, testing, deployment, and support.
Be accountable for technical delivery commitments, engineering quality, production readiness, and ongoing solution support.
Define and govern reference architectures, reusable frameworks, engineering standards, design patterns, and lifecycle practices.
Lead architecture reviews, technical assessments, design approvals, complex troubleshooting, and root-cause analysis.
Drive adoption of advanced capabilities including Agentic Automation, AI Agents, Intelligent Document Processing, Process Mining, and Generative AI.
Provide the Manager with technical estimates, skill requirements, capacity needs, risks, and dependencies for portfolio planning.
Present solution recommendations, technical risks, delivery status, and tradeoffs to business and technology leaders.
Develop engineers through coaching, technical feedback, knowledge sharing, and leadership opportunities.
Preferred Experience
UiPath Solution Architect or Advanced Developer certifications.
Experience leading enterprise Automation Centers of Excellence or large automation programs.
Experience presenting architecture and delivery recommendations to senior leadership.
Healthcare or other regulated industry experience.
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