Top AI Jobs in Singapore

Support AI capability adoption via structured prompt experimentation, custom GPT testing, workflow prototyping, documentation of prompt libraries and exemplars, and coaching/enablement sessions to scale responsible AI use across the firm.

Lead technical strategy with channel partners across ASEAN to design, validate, and scale Microsoft Cloud and Data & AI solutions. Drive offer development, run workshops and POCs, enable specializations, and translate technical work into repeatable, revenue-generating partner services aligned to Microsoft Cloud and AI priorities.

Design, develop, and deploy enterprise Generative and Agentic AI applications using LLMs. Architect cloud-native AI solutions, build PoCs, support pre-sales, run client workshops, and provide technical advisory across the solution lifecycle.

Design and build generative and agentic AI solutions and end-to-end ML applications. Analyze structured and unstructured data, develop ML models, deploy pipelines, dashboards and cloud architectures. Advise clients, run workshops, support pre-sales PoCs, and translate business requirements into scalable AI solutions while collaborating with stakeholders.

Develop and iterate full-stack AI products for the life sciences domain, optimize data processing and business logic for pharmaceutical accuracy, and rapidly adopt and integrate frontier LLMs, APIs, and AI tools.

Designs and delivers secure, scalable AI-driven business process solutions on the Microsoft stack (Dynamics 365, Copilot, Power Platform, Azure AI Foundry). Leads technical engagements from envisioning to adoption, drives consumption and ROI, mentors teams, influences product strategy, and ensures governance, security, and operational readiness for enterprise customers.

Build, deploy, and maintain predictive models and GenAI-powered applications; analyze large datasets to extract insights; collaborate with stakeholders to design solutions and visualizations; architect scalable reusable AI services and stay current with machine learning and generative AI advances.

Design, develop, and implement algorithms addressing embodied AI safety (attack and defense). Collect and process data, run experiments and analyze results, assist with robot operation, debugging, system integration, and provide general lab support.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

Support onboarding assets to an AI-driven valuation platform, ensure data integrity and methodological accuracy, validate and review outputs, test features and provide feedback, advocate for valuation users, drive platform adoption, and translate valuation requirements to technical and product teams.

Lead a team designing, delivering, and scaling AI and automation solutions across Azure and Microsoft 365. Manage hybrid identity, Azure operations, M365 administration, security/compliance, on-prem servers, vendor relations, and AI strategy (Copilot, OpenAI, Cognitive Services). Oversee governance, POCs, and enterprise adoption while providing L2/3 support and project delivery.

Develop advanced calibration, localization, and mapping algorithms for autonomous robots, ensuring high-quality code delivery and collaboration across teams.

Build and ship production AI systems: agents, RAG/LLM apps, tool-calling and automations for onboarding, KYC, risk, support and operations. Work with product and engineering, design for accuracy, latency, cost, security and compliance, and convert manual processes into scalable AI-enabled workflows.

The Senior GenAI Scientist develops AI models to enhance marketing initiatives by collaborating with various teams, optimizing systems, and deploying solutions.

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 AI Enablement Lead will drive the adoption and integration of AI capabilities within consulting teams, enhancing productivity and operational workflows. Responsibilities include strategy execution, capability building, stakeholder engagement, and performance tracking to ensure effective AI use across the organization.

Lead content strategy and community engagement to drive AI adoption across HDB. Create audience-centered content, manage partnerships, run events and hackathons, produce marketing and communications, maintain a knowledge hub, and measure engagement to iterate on strategy.

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.

Design, build, and deploy production AI/ML and Generative AI solutions (LLM apps, RAG, agentic workflows). Build data pipelines, MLOps/LLMOps, and cloud-deployed architectures (AWS/Azure/GCP). Collaborate with stakeholders, embed responsible AI and governance, and create reusable assets and best practices to scale AI across the organization.

Lead regional AI adoption by embedding LLMs, copilots, assistants and automation into consulting and support workflows. Drive strategy, governance, capability building, use-case scaling, prototyping, change management, KPI tracking and responsible AI practices in partnership with regional leaders and technical teams.

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.

Design, build, and maintain internal platform products, APIs, and services that enable customer-facing teams to prototype and scale solutions. Own full product lifecycle from prototype to GA, collaborate with customers and field teams, leverage AI-assisted development, and deliver secure, scalable systems processing large volumes of security events.