Top AI Jobs in Singapore

Lead design, build, and deploy agentic AI and RAG solutions for networking. Architect scalable AI workflows, mentor engineers, establish MLOps/DevOps pipelines, optimize model performance, and collaborate with networking teams to deliver production AI systems and governance.

Develop and deploy enterprise-grade AI and Generative AI solutions, working on applications like LLM and RAG, ensuring operational stability.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

Develop AI solutions utilizing large language models to boost productivity, lead end-to-end development of AI systems, and integrate AI into business workflows and processes.

Lead the AI Fluency programme, engaging stakeholders, delivering training, ensuring governance, and managing a team for technology adoption in the organization.

The AI Sales Specialist drives success for Red Hat's AI portfolio in Singapore, managing sales strategies, demonstrating economic value, and advising clients on AI deployment.

As an AI Specialist Solution Architect, you will architect AI systems, support technical sales, engage stakeholders, and operationalize AI while advocating for Red Hat products.

Embed with enterprise clients to design, build, and operationalize agentic AI solutions in production: architect integrations with ERP and identity systems, write production-grade code, build retrieval pipelines, agent orchestration, guardrails, evaluation suites and observability, manage cutover and handover to support, and produce reusable patterns and accelerators.

Lead development and implementation of AI governance frameworks, create playbooks and training, validate standards across business units, industrialise governance tooling, run bank-wide governance processes, and advise stakeholders on responsible AI practices.

Design, build, and maintain network automation, monitoring and AI-driven automation solutions (LLMs, RAG, vector DBs). Develop software for predictive analytics and NLP, deploy CI/CD pipelines, integrate APIs, automate network provisioning, troubleshoot systems, create monitoring dashboards, and support audits and regulatory requirements.

Lead development of cost/benefit methodologies and ROI projections for AI agents; quantify productivity gains and cost reductions; design hybrid human–AI workforce models; redefine job structures, performance management, and incentives to optimize AI-human collaboration; partner with LOBs and HR for adoption and workflow redesign.

Lead development and maintenance of a bank-wide Data and AI risk management framework. Assess new initiatives, conduct risk reviews, embed controls across data and AI lifecycles, monitor data quality and KRIs, advise business units, align with regulations and industry best practices, and report risks and mitigation strategies to senior management.

Lead design and rollout of AI governance for Group Operations, ensuring AI/ML (including GenAI and third-party models) comply with enterprise RDU/PURE policies and regulations. Oversee use-case reviews, centralized prompt management, data enablement, infrastructure standardization, committee reporting, stakeholder engagement, and practitioner training.

Lead strategy and execution of technology audits focused on data, AI, and applications. Develop audit roadmaps, assess AI/model and data risks, design advanced audit tests using analytics, ensure regulatory compliance, build governance frameworks, and lead and mentor the audit team while engaging senior stakeholders and regulators.

Lead and deliver agentic AI solutions for networking: design RAG and agent architectures, oversee development and deployment, mentor engineers, establish MLOps/DevOps pipelines, optimize performance and governance, and collaborate with networking stakeholders to drive AI strategy and operationalize network automation and anomaly detection.

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.

Evaluate AI-generated responses for cultural appropriateness and safety using a structured rubric. Perform two independent evaluations per prompt-image pair, provide concise English rationales, join calibration sessions, support arbitration for disagreements, and meet quality and throughput targets during a 2–3 week freelance engagement (20–40 hours/week).

Evaluate AI-generated responses for cultural safety and appropriateness using a structured rubric across ~1,000 prompt-image pairs. Complete two independent evaluations per item, provide concise English rationales, attend calibration sessions, support arbitration, and meet quality and throughput targets over a 2–3 week freelance engagement.

Lead technical architecture and delivery for AI automation, data integration, workflow automation, and platform capabilities. Design scalable, secure solutions, manage AI engineering delivery, set engineering standards, oversee data and inference-layer work, integrate SaaS/platforms, and establish governance, testing, and documentation for sustainable automation.

Build, test and sustain AI agents, RAG/vector search and platform integrations for ETP Hub. Develop retrieval, embedding, indexing and user-facing AI tools, create API connectors and automation scripts, document workflows, and support deployment, monitoring and refinements to improve search, retrieval and operational efficiency.

The Senior AI Architect will design and implement AI workloads, mentor teams, engage with customers, and drive AI methodologies across APAC while collaborating with sales and engineering teams.

As an AI Content Annotator, you will evaluate AI outputs, assess their quality, and classify content while maintaining accuracy. Tasks include writing prompts and reviewing sensitive content.

The intern will research AI technologies, develop prototypes to enhance operations, and support the industrialization of AI solutions with supervision and mentorship.

As an AI Solution Architect, you'll engage in pre-sales, guide AI product implementations, and support customer success with technical expertise.

The role involves designing and deploying generative AI solutions, mentoring junior engineers, collaborating with teams, and optimizing system performance.