Top AI Jobs in Singapore

Lead Multiplier’s company-wide AI strategy, shared AI platform, and customer-facing AI experiences. Build agent infrastructure, retrieval, tool access, evaluation, and safety systems; launch an AI agent that answers questions using customer data and eventually executes tasks. Lead a cross-functional team, establish AI development standards, and partner across product, engineering, support, and operations to deliver trusted, scalable AI capabilities.

Build and maintain end-to-end full-stack applications and cloud infrastructure incorporating AI and GenAI workloads. Integrate LLMs, RAG, AI agents, and agentic workflows into user-facing products. Design APIs, databases, CI/CD pipelines, containerized deployments, and infrastructure as code across major cloud platforms. Support secure, reliable, observable systems while serving as a technical contact for clients and operations teams and producing technical documentation.

Design and deliver production-ready AI and data science solutions across CRM, retail, marketing and operations. Build ML models, GenAI/RAG pipelines, feature engineering and training workflows; collaborate with data engineering to deploy, monitor and optimize models; run experiments and measure business impact while ensuring responsible AI, security and governance.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Develop and maintain design system standards, components, documentation, and AI-assisted workflows for a regulated banking environment. Build scripts, tools, templates, and automations; evaluate AI-generated outputs; protect confidential data; and uphold quality, accessibility, governance, and compliance standards. Collaborate with designers, content specialists, engineers, and stakeholders to scale effective design practices.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Conduct research on AI for nature-based climate solutions by curating multimodal ecohydrological remote-sensing datasets, training and evaluating deep-learning models on high-performance computing systems, and applying them to tropical ecosystem analysis. The role requires expertise in computer vision, remote sensing, model development, reproducible experimentation, scientific writing, and programming with Python, MATLAB, and PyTorch.

Develop and execute technical SEO and Generative Engine Optimization strategies to improve organic rankings, website performance, content discoverability, and visibility across AI-powered search platforms. Conduct audits covering crawling, indexing, site architecture, structured data, and Core Web Vitals. Monitor rankings, traffic, and conversions, manage SEO tools, perform keyword and competitor analysis, and collaborate with developers, content teams, and marketing teams.

Hands-on internship supporting the development of AI and digital products, including software, analytics, automation, dashboards, machine learning, and generative AI solutions. Responsibilities include Python development, data preparation, API integration, testing, deployment, governance documentation, secure engineering, and collaboration with technical and business stakeholders.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Designs and builds production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, evaluations, RAG and multi-agent integrations. Optimizes models for latency, throughput, token efficiency, reliability, and cost. The role also develops enterprise integration, governance, monitoring, safety, and deployment patterns on AWS, while translating client requirements into model strategies and contributing hands-on production code, design reviews, and reusable engineering practices.

Leads DDN’s APAC AI business development strategy through relationships with NVIDIA, Neoclouds, NVIDIA Cloud Partners, GPU providers, technology partners, and enterprise customers. Creates ecosystem-driven pipeline, coordinates strategic pursuits, maps AI infrastructure opportunities, supports executive engagements, and translates technical capabilities into business value. Requires strong enterprise technology sales experience, AI infrastructure fluency, executive relationship skills, and frequent APAC travel.

Support AI prototypes, AI/BI solutions, AI agents, GenAI workflows, dataset preparation, model evaluation, dashboards, and reporting. Assist with testing, issue investigation, documentation, deployment, monitoring, security, compliance, and governance. Collaborate with technical teams and business users while learning new AI and BI tools during a six-month internship.

Supports AI and data governance by managing model access, auditing permissions and compliance processes, documenting governance activities, monitoring models, developing awareness training, tracking regulatory trends, and preparing governance reports. Collaborates with IT and business teams to ensure AI and data models follow security protocols, data protection laws, and internal policies.

Assist with building, testing, and supporting data pipelines on the Enterprise Data Platform. Process and organize datasets for business use cases, perform data quality checks, maintain documentation, and support stakeholders. The intern will apply Python or Java and object-oriented programming while learning data engineering tools, cloud platforms, and big data technologies.

Define the vision, strategy, roadmap, and commercialization of AI-enabled products. Identify high-value AI opportunities, translate business needs into product requirements and business cases, and guide solutions from concept through deployment and adoption. Partner with engineering, architecture, delivery, sales, clients, and senior stakeholders while monitoring business outcomes, product adoption, and value realization. Stay current with generative AI, agentic AI, intelligent automation, and enterprise technology.

Plan and execute technology projects by defining scope, milestones, dependencies, resources, risks, budgets, and deliverables. Coordinate cross-functional technical, account, and partner teams; facilitate governance meetings; track progress and SLAs; resolve issues; and communicate project status to customers and stakeholders. Build trusted customer partnerships, support collaboration, and ensure projects meet quality, efficiency, and customer-expectation targets.

Design and build production-ready AI applications and secure backend integrations for an intelligent digital services platform. Develop retrieval pipelines using embeddings and semantic search, integrate LLM capabilities, establish monitoring and guardrails, evaluate vendor AI solutions, and ensure security, reliability, explainability, and graceful degradation. Collaborate across the platform architecture and own AI features from design through post-launch optimization.

Conduct research on AI-based process monitoring for laser-based metal additive manufacturing. Responsibilities include collecting thermal data, developing data-efficient AI models, detecting anomalies and material defects, implementing real-time layer-wise monitoring, optimizing process parameters, supporting energy-system collaborations, maintaining laboratory resources, documenting findings, mentoring students, and assisting with research proposals and publications.

Leads Microsoft’s ASEAN Enterprise Commercial segment across all ASEAN countries, driving AI transformation, revenue, consumption, usage, customer satisfaction, large-deal growth, industry go-to-market execution, and customer and partner engagement. The role manages and coaches sales teams, develops strategic business plans, builds cross-functional alignment, represents Microsoft in industry and policy environments, and attracts, develops, and retains a diverse sales organization.

Manage complex employee exits across international jurisdictions while ensuring legal compliance, accurate documentation, confidentiality, and excellent client and employee experiences. Provide first-level employee relations guidance, assess workplace concerns, advise on disciplinary processes, and coordinate stakeholders. Lead difficult conversations, negotiations, and termination procedures. Mentor junior colleagues and drive process improvements, automation, and customer experience enhancements within a global, asynchronous team.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.