Top AI Jobs in Singapore

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

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.

Lead AI strategy, drive company-wide AI adoption, architect production AI systems, and establish best practices and governance for AI initiatives.

Design and deliver production-grade, enterprise-focused AI architecture blueprints and open-source Quickstarts. Collaborate with partners to integrate and benchmark systems, incorporate telemetry, ensure secure and compliant deployments, and optimize runtimes across heterogeneous hardware.

Design and build production-ready enterprise AI architecture blueprints and open-source Quickstarts, integrate and benchmark model serving and telemetry, ensure secure, compliant deployments, and co-develop integrations with partners.

Design production-ready, enterprise-grade AI infrastructure blueprints and lead customer workshops, POCs, and technical advisory. Integrate partner ecosystems, optimize feedback into product roadmaps, and autonomously deliver complex Kubernetes-based, containerized AI/ML solutions while mentoring junior engineers.

Lead design and delivery of scalable AI platform solutions across APAC, scope consulting engagements, architect distributed training/inference and production ML systems, mentor regional teams, align customer needs with Red Hat AI Platform, and represent Red Hat in regional/global AI strategy while traveling up to 40% in APAC.

Lead design, implementation, and productionization of enterprise AI solutions on Red Hat AI Platform and OpenShift across APAC. Deliver end-to-end AI workloads (data pipelines, training, LLM serving, inference), drive pilot-to-production, implement responsible AI controls, mentor team members, and produce architecture and operational documentation.

Design, develop, integrate, and maintain highly available, secure, scalable distributed software. Collaborate with engineers, architects, and product teams through the agile lifecycle. Lead feature grooming, estimate technical risks, manage technical debt and third-party component currency, and coach/mentor engineers to deliver high-quality solutions across security, data, networking, and platform domains.

Design, train, evaluate and deploy machine learning and AI models. Build data pipelines, preprocess data, run EDA, optimise algorithms, deploy models to production (cloud/APIs/containers), monitor performance, document models, and collaborate with cross-functional teams on AI prototypes and production solutions.

Conduct research on vector search and AI methods for sustainability. Develop quantitative sustainability indicators, AI-enabled monitoring frameworks, and data-driven ESG assessment tools. Build data collection/validation/visualization tools, design experiments and statistical models, ensure trustworthy AI, collaborate with multidisciplinary teams, and produce proposals and scientific publications.

Lead technical design, development, and deployment of data platforms, analytics, and AI solutions. Set architecture, standards, and governance; drive MLOps/DataOps practices, model governance, and integration (including robotics). Provide hands-on delivery, technical direction, and mentorship to ensure scalable, secure, and reusable AI capabilities.

Lead Data & AI engagements across India or Japan: design and deliver data pipelines, analytics, ML and generative-AI solutions; manage client relationships and project delivery; embed model governance, privacy, and explainability; mentor junior staff; and help grow business and localize CFGI accelerators and offerings.

Lead design and implementation of OpenShift-based platform architectures, run workshops, deliver pre-sales and POC activities, migrate workloads, operationalize clusters with GitOps/service mesh/serverless, ensure observability, security, and scalability, mentor junior consultants, and contribute to internal playbooks and best practices across ASEAN customers.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

Identify, engage, qualify, and set meetings with target prospects for the AI & LLM team focused on Greater China. Conduct outbound prospecting via cold calls, email, voicemails, and social media; use prospecting/research and enablement tools; collaborate with team to improve processes; stay current on industry trends; participate in ongoing training.

Pre-sales technical expert who designs end-to-end AI solution architectures (GPU/compute, storage, networking, software, MLOps), builds proposals and BOMs, coordinates ATC proofs-of-concept, validates GPU designs with partners, and ensures feasible handoffs to delivery teams to advance deals.

Serve as the technical pre-sales architect for regional AI pods: design end-to-end AI solution architectures (GPU/compute, networking, storage, software, MLOps), create BOMs and sizing, coordinate ATC proofs-of-concept, validate designs with partners (NVIDIA, cloud, infrastructure vendors), and ensure clean handoff to delivery while enabling field teams and advancing deals.

Quota-carrying sales role that generates, qualifies, and closes AI opportunities across an assigned territory. Partners with field sales and AI partners to build pipeline, craft executive pitch decks/proposals, manage CRM and forecasting, and coordinate GTM resources to win AI product, infrastructure, and services deals.

Quota-carrying sales role to generate, qualify, and close enterprise AI opportunities. Partner with field teams, build pipelines, craft executive pitch decks, engage AI partners, and maintain CRM hygiene and forecasts.

The role involves developing AI strategies for various business functions, implementing POCs, collaborating with teams on AI solutions, and ensuring compliance with AI governance.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.