RPA Architect

An RPA (Robotic Process Automation) Architect designs, develops, and implements RPA solutions to automate business processes. They analyze workflows, identify automation opportunities, and ensure solutions align with business needs and technical requirements. This role involves leading the technology team, defining the architecture of automation solutions, and collaborating with business stakeholders.
Here's a more detailed breakdown of an RPA Architect's responsibilities:
Key Responsibilities:

• Solution Design and Architecture:
• Designing and building end-to-end RPA solutions.
• Defining the overall structure and architecture of automation systems.
• Ensuring solutions align with business needs and technical infrastructure.
• Process Analysis and Optimization:
• Analyzing existing business processes to identify automation opportunities.
• Mapping and documenting processes to ensure clear understanding.
• Collaborating with business process SMEs to understand requirements.
• Technology Selection and Implementation:
• Choosing appropriate RPA platforms, tools, and technologies.
• Defining and implementing automation frameworks.
• Developing and testing automation workflows.
• Collaboration and Communication:
• Working with cross-functional teams to define and deliver projects.
• Collaborating with business stakeholders to understand requirements.
• Providing technical direction and guidance to development teams.
• Documentation and Testing:
• Creating detailed process design documentation.
• Developing and executing functional and integration test scripts.
• Performing end-to-end, performance, and security testing.
• Training and Support:
• Preparing training materials and user guides.
• Facilitating user acceptance testing.
• Providing ongoing support and maintenance for RPA solutions.

• Strong understanding of RPA technologies and platforms (e.g., UiPath, Automation Anywhere) with 10 to 12 years of experience.
• Experience in process analysis, workflow mapping, and business requirements gathering.
• Knowledge of software development methodologies (e.g., Agile).
• Experience in designing and implementing scalable automation solutions.
• Strong communication and collaboration skills.
• Problem-solving and analytical skills.