Automation Architect (RPA)
Location: Salt Lake City, UT (Remote)
Duration: 12 Months
Job Summary:
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
Required Skills: (Mandatory)
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
Required Qualifications:
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
Education:
- 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
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