Key ResponsibilitiesÂ
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