5+ years of experience in RPA development, specifically with UiPath
Strong understanding of automation frameworks and design patterns
Proficiency in programming languages such as C#, VB.NET, or Python
Experience with AI technologies, including LLM integration and generative AI
Familiarity with cloud platforms and enterprise security concepts
Knowledge of Agile/Scrum methodologies
Responsibilities
Design and implement UiPath automation solutions for various business processes
Build and maintain attended, unattended, and scheduled bots for efficiency
Translate business requirements into scalable automation solutions
Develop robust workflows with exception handling and monitoring capabilities
Create reusable components and templates for enterprise automation
Integrate UiPath solutions with existing government systems and APIs
Ensure compliance with cybersecurity and privacy standards
Benefits
Opportunities for professional development and training
Collaborative work environment with a focus on innovation
Engagement in cutting-edge AI and automation technologies
Support for work-life balance and flexible working arrangements
Involvement in impactful citizen service modernization initiatives
Full Job Description
Job Description
The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath's automation platform.
Key Duties and Responsibilities
Design, develop, test, and implement UiPath automation solutions for business processes.
Build and maintain automations including attended, unattended, and scheduled bots for repetitive, rules-based workflows.
Analyze business requirements and translate them into scalable automation solutions using UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
Create reusable automation components, libraries, & templates to support enterprise automation initiatives.
Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
Implement secure automation practices aligned with cybersecurity, privacy, and compliance standards.
Perform testing, debugging, troubleshooting, and ongoing maintenance of automation solutions.
Monitor bot performance, resolve production issues, and optimize automation reliability and efficiency.
Develop technical documentation and workflow diagrams.
Support citizen service modernization initiatives through intelligent automation technologies.
Agentic AI Responsibilities
Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.
Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
Build human-in-the-loop workflows that combine AI agents with employee oversight and approval processes.
Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems.
Ensure responsible AI practices including transparency, auditability, bias mitigation, security, and compliance with government policies.
Evaluate emerging AI and automation technologies to improve operational efficiency and service delivery.
Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.
Preferred Technical Skills
UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
REFramework and enterprise RPA design patterns
API integrations, REST/SOAP services, SQL databases
OCR technologies and intelligent document processing
Generative AI, LLM integration, prompt engineering, and AI orchestration
Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript
Cloud platforms and enterprise authentication/security concepts
