Key Responsibilities
RPA Development and Automation Engineering
· Develop and enhance automation workflows using RPA tools such as UiPath and Power Automate, ensuring robustness, scalability, and maintainability.
· Design reusable automation components and implement structured exception handling, logging, and monitoring mechanisms in accordance with enterprise standards.
· Collaborate with stakeholders to translate business requirements into automated workflows, ensuring alignment with operational objectives and governance standards.
AI and LLM Integration
· Integrate AI and LLMs such as OpenAI, Llama and other enterprise AI platforms into workflows to enable intelligent automation use cases including document processing, summarization, classification, reconciliation, and decision support.
· Develop and implement AI agents that work seamlessly with automation workflows to enhance efficiency and reduce manual intervention.
· Evaluate lightweight Small Language Model (SLM) or on-premises deployment options and integration where possible (Llama v3.3), ensuring alignment with security and compliance requirements.
· Ensure AI implementations adhere to organizational AI governance, data protection, and secure deployment standards.
Central Platforms and Low-Code Tool Enablement
· Onboard, configure, script, and integrate centrally provisioned Government tools and platforms for processes, including but not limited to SGTS products such as OPUS, GatherSG, GovWallet, FormSG, LetterSG, Plumber, Postman, etc.
· Leverage available documentation and onboarding guidance to configure and integrate these tools into end-to-end digital workflows.
· Ensure interoperability between RPA solutions, AI components, and central platforms to deliver seamless and reliable user experiences.
UX Collaboration and Interface Enablement
· Support the development of Customer Journey Maps and service blueprints in collaboration with the Designer.
· Translate user needs and business requirements into intuitive UI concepts on information portals, portlets, dashboards and management reports.
Operations and Day 2 Support
· Provide operational support and enhancements for deployed automation and AI solutions.
· Troubleshoot workflow failures, integration issues, and AI response inconsistencies across RPA, LLMs, and central platforms.
· Implement continuous improvement practices to enhance system resilience, performance, and user adoption.
· Support lifecycle management activities including upgrades, patching coordination, and documentation updates.
· Maintain technical documentation, solution architecture diagrams, and operational runbooks to support maintainability and knowledge transfer.
Qualifications
Technical Expertise
· Experience with UiPath and/or Power Automate development
· Familiarity with API integrations and system-to-system orchestration
· Working knowledge of AI/LLMs and prompt engineering fundamentals
· Understanding of automation lifecycle management and DevOps principles
Professional Experience
· At least 2 years of software engineering or automation development experience
· Experience delivering end-to-end automation solutions in enterprise or Government environments
· Exposure to AI-enabled automation and use cases
Skills and Competencies
· Strong analytical and troubleshooting skills
· Ability to work independently while collaborating across multidisciplinary teams
· Good documentation and communication skills
· Structured and methodical approach to workflow design
Preferred Qualifications
· UiPath Certified RPA Associate or Advanced RPA Developer certification
· Microsoft Power Platform Developer or Power Automate certification
· Experience integrating LLMs via Azure OpenAI, AWS Bedrock, or equivalent enterprise AI platforms
· Exposure to Government or secure on-premises deployment environments
· Familiarity with AI governance, data protection, or secure SDLC practices in regulated environments
· Basic knowledge of containerization or lightweight model hosting (e.g., Docker-based SLM deployment)
Shortlisted candidate will be reach out