Top AI Jobs in Singapore

Lead AI strategy, R&D and presales; design and deliver secure, scalable GenAI/LLM, ML and agentic solutions. Establish architecture standards, responsible-AI and data governance, upskill teams, and manage projects from PoC to production.

Design, build, and deploy agentic AI solutions and co-pilots: architect end-to-end AI pipelines, implement LLM- and RAG-based agent workflows, integrate with enterprise systems, prototype POCs, and ensure performance, reliability, governance, and stakeholder collaboration.

Lead and manage an Agentic AI engineering team to design, build, deploy, and operate AI agents, copilots, and multi-agent systems. Provide technical leadership, enforce architecture and code standards, mentor on LLMs/RAG/prompt engineering, run sprints and POCs, collaborate with stakeholders, and drive reuse and governance compliance.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Operate, maintain, and optimize hybrid cloud Data and AI platforms (Cloudera CDP/CML, Hadoop, Spark) across AWS and on-prem. Perform platform upgrades, security patching, container/Kubernetes/OpenShift administration, monitoring, troubleshooting, and automation using Shell/Python. Collaborate with Infrastructure, Security, SRE, and Data/ML teams to ensure availability and scalability of AI/ML and Generative AI services (SageMaker, EMR, Bedrock).

Design, develop and roll out geospatial AI-centric MVPs and digital products. Work full-stack on frontend and backend, implement and fine-tune ML/GenAI/LLM models, use cloud and DevSecOps practices, collaborate with stakeholders in cross-functional teams.

Support the AI team to build generative AI and computer vision solutions: code in Python, explore and analyze datasets, identify patterns, report findings, and implement models using PyTorch, TensorFlow, scikit-learn, and pandas.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

Generate and qualify new business opportunities for AI and PropTech solutions, conduct outreach, build pipeline, coordinate with sales and marketing, and communicate product value to prospective clients.