Robotic Process Automation (RPA) Engineer

The Robotic Process Automation (RPA) Engineer role is a 12-month contractual position based in Islamabad, Pakistan, within the AI & Automation department. This position requires 3 to 5 years of hands-on experience in designing, developing, deploying, and managing enterprise automation solutions. The primary focus is to lead the migration of existing Autosphere automation processes to an in-house RPA platform, ensuring seamless business continuity. The engineer will collaborate closely with business, IT, and data teams to transform manual and semi-automated workflows into secure, scalable, and intelligent automation solutions. Additionally, the role involves integrating AI agents and intelligent automation capabilities to enhance productivity across various business functions while maintaining operational stability, governance, and compliance.

Key Responsibilities

- Lead the end-to-end migration of existing Autosphere processes to an in-house RPA platform.
- Inventory, assess, and prioritize automation processes for migration, including process re-engineering and bot redevelopment.
- Conduct thorough testing, manage cutover activities, and decommission legacy bots.
- Identify, analyze, and document business processes suitable for RPA and AI-driven automation.
- Design, develop, test, and deploy automation solutions using platforms such as Microsoft Power Automate, n8n, UiPath, Autosphere, Automation Anywhere, Blue Prism, or equivalents.
- Collaborate with business and IT stakeholders to gather requirements and define automation workflows.
- Map current as-is processes and design optimized to-be workflows to maximize automation benefits.
- Develop and integrate AI agents to improve productivity and operational efficiency.
- Work with datasets to support AI model training, validation, optimization, and performance evaluation.
- Integrate AI models and agents with automation workflows and enterprise systems to deliver intelligent end-to-end solutions.
- Manage daily RPA operations, including orchestration, scheduling, credential management, monitoring, logging, and infrastructure capacity.
- Maintain and monitor deployed bots to ensure reliability, scalability, and performance.
- Troubleshoot, debug, and enhance existing automation solutions based on feedback and performance metrics.
- Document RPA processes, AI/ML workflows, system integrations, and operational procedures.
- Ensure compliance with information security, data privacy, governance, and quality standards.
- Drive digital transformation initiatives and promote the adoption of automation and AI solutions across teams.
- Continuously evaluate emerging RPA, workflow automation, and agentic AI technologies and recommend improvements.
- Ensure bots and AI agents operate within approved systems, access controls, and data privacy requirements.

Required Qualifications

- 3 to 5 years of hands-on production experience designing, developing, deploying, and operating RPA bots in live environments.
- Proficiency with Microsoft Power Automate and n8n.
- Experience with at least one major RPA platform such as UiPath, Autosphere, Automation Anywhere, Blue Prism, or equivalent.
- Strong expertise in RPA bot operations, including orchestration, scheduling, credential management, monitoring, logging, troubleshooting, and incident handling.
- Solid skills in process analysis and mapping, including identifying automation opportunities and quantifying business value.
- Proven ability to gather requirements and collaborate effectively with both business and IT stakeholders.
- Excellent documentation skills for automation workflows, system integrations, and operational procedures.
- Strong written and verbal communication skills tailored to both technical and business audiences.
- Understanding of information security, data privacy, governance, and regulatory compliance, especially within financial services environments.

Preferred Qualifications and Benefits

- Experience migrating automation processes between RPA platforms, particularly Autosphere migrations.
- Background working in banking, fintech, or telecom sectors.
- Experience developing or integrating AI agents into enterprise automation workflows.
- Familiarity with agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.
- Knowledge of machine learning fundamentals, including data preparation, model training, validation, and performance evaluation.
- Experience with Intelligent Document Processing (IDP), OCR, and document understanding technologies.
- Exposure to document automation use cases like KYC, customer onboarding, or reconciliation.
- Familiarity with additional automation tools such as Robocorp or OpenRPA.
- Understanding of core banking systems, payment systems, digital wallets, and banking back-office processes.
- UiPath Advanced RPA Developer certification or equivalent certification in RPA/automation platforms is highly desirable.

This role offers the opportunity to work on cutting-edge automation and AI technologies within a dynamic environment, contributing to significant digital transformation initiatives.