Top AI Jobs in Singapore

As Senior Growth Director of AI Solutions in APAC, you'll drive AI business growth, nurture client relationships, and lead a sales team.

The AI Data Specialist will perform tasks like data collection, evaluation, annotation, and tagging across various content types, primarily focusing on AI-generated content in Chinese.

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.

Design, fine-tune, and deploy AI/ML solutions (including LLMs) using Python and ML/DL frameworks; integrate geospatial and 3D data; build scalable training pipelines and APIs or plugins for engineering tools; collaborate with engineers and GIS/BIM specialists to embed AI into infrastructure workflows.

Lead development of AI-enhanced legal research for litigation lawyers: design LLM and RAG features, conduct legal research, craft and refine prompts, evaluate search relevance, collaborate with engineering and labs, and gather customer feedback to improve Westlaw AI.

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.

Lead the business analysis function for AI and data initiatives: define roadmap, translate stakeholder needs into requirements, design use cases and solutions, ensure governance and compliance, drive adoption, training, and continuous improvement.

The Solutions Architect will partner with customers to leverage Generative AI, building prototypes and guiding technical deployments to maximize business value.

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

The role involves collaborating with business units to develop blockchain use cases, manage requirements, facilitate testing, and contribute to project deployment in the banking sector.

Design, build, and operate AI agents, automation, and generative tools to boost Digital Sales productivity. Integrate with Visa systems, automate workflows, create content generation capabilities, monitor and iterate on models, and partner with cross-functional teams to ensure secure, compliant, and scalable AI delivery across the AP Digital Sales organization.

Develop and deploy AI-powered full stack applications across AWS, GCP, and Azure. Integrate foundation models (Bedrock, Azure OpenAI, Gemini/Vertex AI), design RESTful APIs, implement secure authentication/authorization, optimize performance, and build event-driven/asynchronous workflows for long-running AI tasks.

As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.

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

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

As a Software Principal Engineer, you'll architect AI platforms, develop MLOps pipelines, and integrate AI tools to enhance software engineering processes and product solutions.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

Lead AI pilots for global customers, focusing on technical architecture, scope delivery, and aligning AI solutions with business outcomes. Manage stakeholder communication and interface with engineering for product feedback.

The AI Architect at Genesys will connect AI product management and customer-facing teams, support pre-sales activities, and influence decision-makers with AI technical solutions.

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.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

The Lead AI Developer leads software projects, champions best practices, oversees development cycles, and collaborates with teams to deliver AI solutions, ensuring quality and client satisfaction.

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.

This role involves delivering technical enablement and customer training for OpenAI's products, focusing on adoption and business value in enterprise environments. You'll design training, drive customer activation, and partner with teams for effective product implementation.