Top AI Jobs in Singapore

Lead AI-enabled cost transformation across procurement and manufacturing, build and operationalize a portfolio of AI/Generative AI use cases (spend, supplier, contract analytics), implement measurable savings and productivity improvements, embed solutions into workflows, manage cross-functional stakeholders, and scale data science and automation initiatives for value capture.

Lead the design, prototyping, development, deployment, and integration of generative AI solutions, including LLMs and GANs. Provide hands-on technical leadership, guide software development practices, mentor engineers, collaborate with product and research teams, and explore emerging technologies such as multimodal AI, agent automation, and retrieval-augmented generation.

Develop and deploy AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partner with business, technology, data engineering, and data science stakeholders to define requirements, deliver use cases, and influence decisions. Guide teams on model selection, GenAI cost estimation, benefit realization, governance, privacy, and responsible AI. Maintain existing solutions, promote AI adoption, and oversee analytics work across risk departments.

Design, implement, and operate advanced batch and gang scheduling systems for large-scale AI/HPC clusters. Build admission control, queueing, topology-aware placement, DRA and custom scheduler plugins, and GPU-sharing/multi-tenancy solutions. Integrate scheduling with bare-metal hardware and storage, resolve contention and deadlocks, and mentor engineers to maintain scalable, reliable orchestration stacks.

Design and scale high-cardinality telemetry for AI datacenters: integrate hardware exporters into Kubernetes, build eBPF diagnostics, create alerting/dashboard pipelines, enable multi-tenant billing metrics, define observability standards, and lead architecture reviews and mentoring.

Support the CEO by turning priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, decisions, blockers, prepare briefs and updates, coordinate cross-functional teams, identify execution gaps, and own urgent cross-departmental problems.

Lead end-to-end AI adoption and expansion for enterprise customers: define multi-year AI roadmaps, align cross-functional teams, drive measurable adoption and commercial outcomes, advise on responsible AI and compliance, and serve as the primary strategic and design authority to secure retention and growth.

A six-month consulting analyst program involving active participation in strategy consulting projects, analytical problem-solving, digital and AI-based tools, and collaboration within international teams. Participants develop consulting skills and may convert to full-time Consulting Analyst or Junior Consultant roles. The program is office-based in Singapore.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

Owns OKX’s localization product strategy by rebuilding translation and quality-evaluation pipelines around LLMs and creating AI-assisted monitoring and remediation systems. The role drives localization business outcomes, protects user conversion across key journeys, establishes release-quality gates, reduces recurring production issues, and distributes localization accountability across product, design, engineering, content, and compliance teams.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Design, build, evaluate, and deploy AI systems for enterprise customers, taking solutions from use-case definition and architecture through production launch and scale. Develop prototypes, integrations, evaluation harnesses, and reusable tooling while resolving complex technical challenges involving reliability, latency, cost, safety, security, governance, and observability. Partner with customer and internal engineering teams to drive adoption, measurable business outcomes, and product improvements.

Develop and optimize generative AI and machine learning models, infrastructure, APIs, and integrations. Perform statistical analysis, data transformation, automation, model testing, audits, and evaluation for reliability, scalability, accuracy, and ethical compliance. Collaborate with technical and business stakeholders, communicate AI concepts clearly, research emerging techniques, and contribute to AI strategy and product capabilities.

Evaluate, optimize, deploy, and benchmark AI/ML models on resource-constrained embedded platforms, including FPGA systems and microcontrollers. Analyze latency, memory, power, accuracy, hardware trade-offs, and optimization approaches for automotive applications. Document findings and provide technical summaries.

Leads SGGC’s AI transformation and digital product development, including AI-enabled applications, workflow automation, internal tools, and technology platforms. The role combines hands-on software engineering, architecture, coding, code review, secure solution delivery, and technical risk assessment with building and managing a small engineering team. Responsibilities include identifying AI use cases, partnering with stakeholders, managing vendors and integrations, and establishing engineering standards.

Lead the roadmap, discovery, delivery, adoption, quality, and continuous improvement of internal AI platforms. Translate business needs into priorities, requirements, pilots, releases, and measurable outcomes. Partner with engineering, product owners, security, legal, and business teams on reliability, costs, responsible AI, data handling, and user adoption. Mentor product colleagues and influence stakeholders without direct authority.

Guide and mentor deep-tech startup teams from concept to launch, scout and source university technologies, align research with market needs, support fundraising, hiring and partnerships, and collaborate with NUS Enterprise to scale ventures.

Supports global product operations by maintaining ERP and SKU data, resolving labeling workflows, coordinating import permits and customs documentation, monitoring shipments, provisioning test hardware, and tracking partner feedback and project deliverables. The role collaborates with internal teams, freight forwarders, customs brokers, regional partners, and project leads across Southeast Asia and APAC.

Lead data acquisition and partnership activities for Transport AI, developing a prioritized multimodal data roadmap, negotiating data access with agencies and industry, enforcing data standards and governance, building secure ingestion platforms, and working with legal, cyber and AI teams to onboard datasets for analytics and AI use cases.

Manage strategically important startup accounts across Singapore, owning customer relationships, consumption, contracted revenue, forecasts, and account strategies. Partner with deployment, solutions, product, engineering, and research teams to support customers building with OpenAI APIs and SDKs. Analyze account and market intelligence, communicate technical concepts, advocate for startup needs, contribute to corporate strategy, and support team hiring, onboarding, and culture development.

Leads the global Credit Risk function, setting credit strategy, risk appetite, governance, and portfolio management across LEGO Group customers. Manages geographically dispersed teams, partners with commercial and finance leaders, evaluates complex customer credit risks, and balances growth with financial protection. Drives transformation through advanced analytics, predictive modelling, automation, and AI-enabled solutions while collaborating with Treasury, Accounts Receivable, and technology teams to improve working capital and credit performance.

The Visiting Professor will participate in teaching and research, supervise graduate students, and mentor junior faculty at NTU's College of Computing and Data Science.

Support and run experiments collecting large-scale neural activity in murine models, analyze neural datasets, manage lab operations, contribute to grants, presentations and publications, and participate in lab meetings and journal club.

Drive Anthropic’s public-sector sales expansion across ASEAN, owning complex sales cycles from outreach through deployment. Build strategic relationships with ministries, agencies, statutory boards, systems integrators, and partners; navigate government procurement, security, compliance, data sovereignty, and localization requirements; develop market-specific sales strategies and playbooks; provide market intelligence to product and policy teams; and support revenue growth across Singapore and Southeast Asia.

Own the end-to-end product strategy and execution for AI-native applications. Define AI system requirements, evaluate model behavior, make trade-offs across quality, latency, cost, reliability, and user experience, and partner closely with ML, backend, mobile, and engineering teams. Establish evaluation frameworks, prioritize roadmaps, drive rapid and safe delivery, and ensure product correctness, predictability, and user trust.