Top AI Jobs in Singapore

Lead an engineering team to design, build, and deploy scalable generative-AI applications. Translate research into products, optimize ML infrastructure, mentor engineers, and drive 0-to-1 product development with partners and PMs.

As a Principal Architect - AI Engineering, you will lead the development of AI systems, design ML pipelines, mentor engineers, and ensure compliance with industry regulations.

responsible for driving AI initiatives from scoping to rollout, collaborating across teams to integrate AI in business workflows, tracking progress, and solving blockers proactively.

The role involves managing the lifecycle of AI implementations, optimizing processes, collaborating across teams, and monitoring performance for AI solutions.

The role involves developing quantitative models for trading and risk management, leading teams, and driving innovation in machine learning applications within investment banking.

Lead the implementation of data analytics strategies, managing interdisciplinary teams to deliver data projects, overseeing budgets, and ensuring client engagement.

Design end-to-end AI-driven products for consumer and enterprise contexts. Conduct rapid research, prototype agent behaviour and personality, create polished UI/UX and brand-aligned agent experiences, and collaborate closely with front- and backend AI engineers to build testable, trustworthy AI solutions.

As an AI Intern, develop an Agentic AI framework for requirement normalization, enhance Generative AI models, and document findings. Collaborate in research and implementation using machine learning and natural language processing.

Lead the development and deployment of applications leveraging generative AI. Design scalable software solutions, optimize performance, and lead product architecture with a focus on AI.

The role involves leading AI integration, data analysis, and collaboration with stakeholders while mentoring junior analysts and optimizing business processes.

The Applied AI Engineer will lead the adoption of AI products, collaborating with clients to integrate AI models and maintain full-stack applications while enhancing customer feedback.

The AI Cloud Architect will develop cloud strategies, design solutions, lead migrations, implement governance, and drive AI integration while managing relationships with service providers and ensuring security compliance.