Be an Early Applicant
The Role
Lead the design, deployment, and architecture of production-ready AI, data science, and analytics solutions for tax administration. Develop Generative AI, RAG, and Agentic AI applications; provide technical guidance to stakeholders; translate data into strategic insights; define long-term AI architectures; and mentor data professionals. The role requires strong machine learning, programming, cloud deployment, full-stack, data engineering, and communication skills.
Summary Generated by Built In
[What the role is]
At IRAS, we are shaping the future of tax administration through data-driven innovation and AI-powered transformation. You will be at the forefront of building intelligent, AI-enabled products and solutions — from Generative AI to Agentic AI systems — that enhance taxpayer services and tax compliance, streamline operations, and deliver real impact to taxpayers.[What you will be working on]
- Deliver AI Solutions: Design and deploy scalable, cost-effective, robust, and production-ready AI and data analytics solutions that transform business processes and create measurable value. Provide technical guidance to business stakeholders on complex AI or data related issues. Translate data into insights for operational and strategic decision-making.
- Drive Innovation: Explore and implement emerging AI/analytical techniques such as Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI systems to keep IRAS at the forefront of AI implementation.
- Shape AI Application Architecture: Research and define future-ready data and AI architectures, tools, and methodologies to support IRAS’ evolving needs. Formulate and implement plans to ensure that the architecture, systems, tools and methodologies can support IRAS’ AI and data needs in the mid to long-term.
- Empower the Community: Share knowledge and mentor data analysts/IRAS data community, strengthening AI/analytics capabilities across IRAS.
[What we are looking for]
- Strong Academic Foundation: Degree in Data Science, Statistics, Engineering, Computer Science, Mathematics, Operations Research, Business Analytics, or related AI/analytics fields.
- Hands-on AI Expertise: Proven experience in developing and deploying AI and advanced analytics solutions, including big data and machine learning algorithms.
- Technical Mastery:
- Proficiency in SQL and Python (must-have).
- Experience with R, Spark, Hadoop, TensorFlow, C++/C#, etc. (nice-to-have).
- Full-stack development skills (Vue, JavaScript, CSS, Node.js, Python, MongoDB, Postgres, API development and integration).
- ETL, data pre-processing, data cleansing and validation
- Applied AI Skills: Expertise in machine learning, NLP, deep learning, recommendation systems, and network analytics.
- Generative AI and Agentic AI Experience:
- Familiarity with RAG architectures (e.g. embedding, vector search, retrieval pipelines)
- Agentic AI design (e.g. multi-step reasoning, agent orchestration, tool use)
- Frameworks like LangChain, LlamaIndex, or equivalent
- LLM integration (e.g. OpenAI, Claude, Llama, Gemini).
- Cloud & Enterprise Deployment: Experience with Azure, Google Cloud, or AWS for enterprise-scale AI solutions.
- Communication Excellence: Strong verbal and written communication skills, stakeholder management skills, and ability to translate complex technical concepts into clear insights for business stakeholders.
What You’ll Gain
- The opportunity to work on large-scale AI projects that directly impact citizens and businesses.
- Exposure to emerging AI ecosystems and the chance to develop new applications in Generative AI and Agentic AI.
- A collaborative environment where innovation, learning, and growth are part of everyday work.
We regret to inform that only short-listed candidates will be notified. All successful candidates will be offered a 2 year contract in the first instance.
Skills Required
- Degree in Data Science, Statistics, Engineering, Computer Science, Mathematics, Operations Research, Business Analytics, or a related AI/analytics field
- Proven experience developing and deploying AI and advanced analytics solutions
- Experience with big data and machine learning algorithms
- Proficiency in SQL
- Proficiency in Python
- Full-stack development skills, including Vue, JavaScript, CSS, Node.js, Python, MongoDB, PostgreSQL, API development, and integration
- Experience with ETL, data preprocessing, data cleansing, and data validation
- Expertise in machine learning, NLP, deep learning, recommendation systems, and network analytics
- Familiarity with RAG architectures, including embeddings, vector search, and retrieval pipelines
- Experience designing Agentic AI systems, including multi-step reasoning, agent orchestration, and tool use
- Experience with LangChain, LlamaIndex, or equivalent frameworks
- Experience integrating large language models such as OpenAI, Claude, Llama, or Gemini
- Experience deploying enterprise-scale AI solutions on Azure, Google Cloud, or AWS
- Strong verbal and written communication skills
- Stakeholder management skills and ability to translate complex technical concepts into clear business insights
- Experience with R, Spark, Hadoop, TensorFlow, C++, or C#
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
The Singapore Economic Development Board (EDB) is a government agency responsible for strategies that enhance Singapore’s position as a global centre for business, innovation, and talent. It undertakes investment promotion and industry development.
