The Intelligent Automation Engineer is responsible for designing, developing, deploying, and maintaining enterprise-grade intelligent automation solutions using the UiPath platform.
The role combines expertise in Robotic Process Automation (RPA), AI-powered automation, process mining, orchestration, and enterprise integration to deliver scalable business solutions.
Tasks
As part of the Data & AI team, the engineer works closely with business stakeholders, solution architects, developers, and product owners to identify automation opportunities and implement end-to-end intelligent automation solutions.
- Design, develop, test, and deploy automation solutions using UiPath Studio and related platform components.
- Translate business requirements into scalable technical automation designs.
- Apply UiPath best practices, REFramework, coding standards, and reusable components.
- Develop integrations with enterprise applications, APIs, databases, and cloud services.
- Perform code reviews and contribute to automation architecture decisions.
- Ensure solution scalability, reliability, security, and maintainability.
- Configure and maintain UiPath Orchestrator environments.
- Manage robots, assets, queues, credentials, and deployment pipelines.
- Support governance frameworks, security policies, and operational standards.
- Create process design documents (PDDs) and solution design documents (SDDs).
Requirements
- Strong experience with UiPath Studio, Orchestrator, Robots, Apps, Integration Service, and AI Center.
- Solid understanding of UiPath REFramework and enterprise automation design patterns.
- Experience with Document Understanding, Process Mining, Task Mining, and Communications Mining.
- Knowledge of Agentic Automation and Generative AI integration.
- Experience with REST APIs, JSON, XML, and system integrations.
- Understanding of Machine Learning and Generative AI concepts.
- Programmng experience.
- Familiarity with cloud platforms such as Azure or AWS.
- Experience using Git, Azure DevOps, Jira, or similar tools.
- Understanding of SQL databases and data modeling.
- Understanding of Machine Learning and Generative AI concepts.
- Experience integrating AI services into automation solutions.
The Intelligent Automation Engineer is responsible for designing, developing, deploying, and maintaining enterprise-grade intelligent automation solutions using the UiPath platform.
The role combines expertise in Robotic Process Automation (RPA), AI-powered automation, process mining, orchestration, and enterprise integration to deliver scalable business solutions.
Tasks
As part of the Data & AI team, the engineer works closely with business stakeholders, solution architects, developers, and product owners to identify automation opportunities and implement end-to-end intelligent automation solutions.
- Design, develop, test, and deploy automation solutions using UiPath Studio and related platform components.
- Translate business requirements into scalable technical automation designs.
- Apply UiPath best practices, REFramework, coding standards, and reusable components.
- Develop integrations with enterprise applications, APIs, databases, and cloud services.
- Perform code reviews and contribute to automation architecture decisions.
- Ensure solution scalability, reliability, security, and maintainability.
- Configure and maintain UiPath Orchestrator environments.
- Manage robots, assets, queues, credentials, and deployment pipelines.
- Support governance frameworks, security policies, and operational standards.
- Create process design documents (PDDs) and solution design documents (SDDs).
Requirements
- Strong experience with UiPath Studio, Orchestrator, Robots, Apps, Integration Service, and AI Center.
- Solid understanding of UiPath REFramework and enterprise automation design patterns.
- Experience with Document Understanding, Process Mining, Task Mining, and Communications Mining.
- Knowledge of Agentic Automation and Generative AI integration.
- Experience with REST APIs, JSON, XML, and system integrations.
- Understanding of Machine Learning and Generative AI concepts.
- Programmng experience.
- Familiarity with cloud platforms such as Azure or AWS.
- Experience using Git, Azure DevOps, Jira, or similar tools.
- Understanding of SQL databases and data modeling.
- Understanding of Machine Learning and Generative AI concepts.
- Experience integrating AI services into automation solutions.
