Top AI Jobs in Singapore

Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.

Lead modernization of actuarial reporting through automation, process redesign, enhanced analytics and AI. Manage PACS/FFP+ projects, define actuarial AI roadmap, deliver pilots and scaled solutions, and coordinate cross-functional stakeholders to improve reporting efficiency, controls, and actionable insights.

Develop and implement AI solutions for game development, enhance integration with game engines, and collaborate with teams to analyze player engagement.

The Senior Sales Manager will drive sales of AI solutions to game developers, forge relationships, and manage the full B2B sales cycle.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

Lead design, scaling, and governance of an agentic AI workforce across Operations by combining RPA and AI. Develop and deploy co-pilot bots, build forecasting models for workload planning, define AI rules and assurance frameworks, and advise senior leaders on scalable AI use cases and investment decisions.

Lead global expedition planning and execution while implementing AI-enabled workflows, automations, and integrations. Manage international permitting, logistics, and vessel coordination; build integrations across mission platforms; maintain mission data governance and automated reporting; conduct post-expedition reviews and drive continuous operational improvement across cross-functional stakeholders.

Serve as a technical bridge between customers and engineering to define requirements, run discovery workshops, translate business needs into user stories, support cloud-native and AI solution design, assist pre-sales POCs, work in Agile teams on backlog prioritization, coordinate UAT and production rollouts, and provide technical-business advisory throughout delivery.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Lead applied-AI innovation across the full lifecycle: discover problems, prototype and pilot AI/ML (including Generative and Agentic AI), then hand over to product and engineering. Mentor a small team, collaborate with stakeholders and senior leadership, and build healthcare-focused IP and production-ready AI capabilities.

Lead end-to-end reconciliation, automation and AI enablement initiatives across the bank. Configure and maintain SmartStream TLM and equivalent platforms, design future-state processes, develop automation and dashboards, conduct testing and production rollout, and ensure governance, risk controls, audit readiness and stakeholder management.

Lead design and implementation of Red Hat OpenShift AI platform solutions for enterprise customers across ASEAN. Deploy and manage AI/ML workloads, architect generative and agentic AI solutions, run discovery and design workshops, support pre-sales and proofs-of-concept, define platform best practices, mentor junior consultants, and contribute to internal playbooks and open-source AI initiatives.

Operationalise the bank's Responsible AI principles by implementing AI governance frameworks and model management platforms, conducting AI risk/materiality assessments, advising business units, reviewing high-risk AI use cases, monitoring regulations, and preparing regulatory-grade governance reports.

As an AI Engineer, you'll build prototypes, design system architectures, write code, integrate AI services, and manage deployments, ensuring software solutions meet public sector needs.

The AI Engineer builds prototypes, designs system architectures, writes production-quality code, manages deployments, and collaborates on AI platform services for government applications.

The Research Associate will assist with legal research in AI law, data protection, and cybersecurity law, compiling summaries and developing data governance practices.

The Research Associate will work on human-like traffic simulations, focusing on traffic behavior modeling and experimental validation using large datasets.

The Research Scientist will conduct innovative research in cloud computing and distributed systems, developing algorithms to optimize performance and efficiency through machine learning techniques.

AI Engineers will drive AI projects, mentor apprentices, develop solutions, support recruitment, and foster community through workshops. Requires expertise in AI/ML, Software Engineering, and good communication skills.

The Research Engineer will conduct research, develop algorithms, design experiments, translate concepts into prototypes, and analyze data, focusing on sustainable digital solutions.

Lead interdisciplinary research at the intersection of AI and education; design, implement, and evaluate AI-enabled pedagogies, curricula, and assessments; translate research into practice via school collaborations; foster international and industry partnerships; provide teaching, mentorship, and intellectual leadership within NIE/NTU.

The Research Associate will develop AI algorithms for object and defect detection, oversee project budgets, and mentor students.

The Research Associate will conduct research on dexterous hand robotic manipulation for household and manufacturing applications, focusing on developing models and frameworks for effective learning and manipulation.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.