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 operating enterprise automation solutions. The primary focus will be on migrating existing 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 tasks into secure, scalable, and intelligent end-to-end workflows. Additionally, the role involves integrating AI agents and intelligent automation capabilities to enhance productivity across various business functions. During the contract, the engineer will stabilize automation operations, establish standards, and implement governance frameworks.

Key Responsibilities

- Lead the full migration of existing automation processes to an in-house RPA platform.
- Inventory, assess, and prioritize automation processes for migration.
- Re-engineer processes where necessary, rebuild bots, conduct testing, manage cutover, 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 Microsoft Power Automate, n8n, UiPath, Automation Anywhere, Blue Prism, or equivalent platforms.
- Collaborate with business and IT teams to gather requirements and define automation workflows.
- Map current “as-is” processes and design optimized “to-be” workflows.
- Develop and integrate AI agents to improve productivity across teams and business functions.
- Work with datasets to support data preparation, model training, validation, optimization, and performance evaluation.
- Integrate AI models and agents with automation workflows and enterprise systems to create 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 efficiency.
- Troubleshoot, debug, maintain, and enhance existing automation solutions based on user feedback and performance metrics.
- Document RPA processes, AI/ML workflows, system integrations, and operational procedures.
- Ensure compliance with information security, data privacy, governance, compliance, and quality standards.
- Collaborate with cross-functional teams to drive digital transformation and increase adoption of automation and AI solutions.
- Continuously evaluate emerging RPA, workflow automation, and agentic AI technologies and recommend improvements.
- Ensure bots and AI agents operate within approved systems, access levels, and security controls.

Required Qualifications

- 3 to 5 years of hands-on production RPA experience.
- Proven ability to design, develop, deploy, and operate RPA bots end-to-end in production environments.
- Practical experience with Microsoft Power Automate and n8n.
- Hands-on experience with at least one major RPA platform such as UiPath, Automation Anywhere, Blue Prism, or equivalent.
- Strong expertise in RPA bot operations and production support.
- Experience with bot orchestration, scheduling, credential management, and secure bot access.
- Proficiency in bot monitoring, logging, troubleshooting, and incident handling.
- Strong process analysis and process mapping skills, including as-is and to-be workflows.
- Ability to identify and quantify the business value of automation opportunities.
- Experience gathering requirements and collaborating with both business and IT stakeholders.
- Excellent documentation skills covering automation processes, workflows, integrations, and operational procedures.
- Strong written and verbal communication skills for both technical and business audiences.
- Understanding of information security, data privacy, governance, and regulatory requirements, particularly in financial services.

Preferred Qualifications and Benefits

- Experience migrating automation processes between RPA platforms.
- Background 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.
- Understanding of machine learning fundamentals including data preparation, model training, validation, optimization, and performance evaluation.
- Experience with Intelligent Document Processing (IDP), OCR, and document understanding technologies.
- Knowledge of document automation for KYC, customer onboarding, or reconciliation use cases.
- Exposure to additional RPA or automation tools like Robocorp or OpenRPA.
- Understanding of core banking systems, payment systems, digital wallets, and banking back-office processes.
- UiPath Advanced RPA Developer certification or equivalent RPA/automation platform certification is highly desirable.