Automation Architect (RPA)

Job Description

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