Top AI Jobs in Singapore

Conduct ML/DL research to develop predictive models from large market datasets, integrate models into systematic trading strategies, contribute to AI/ML libraries, and deploy production algo systems with P&L responsibility across FX, Rates, Commodities, and Credit.

The AI Product Owner will drive AI integration into the Razer Gold Digital Wallet, optimizing operations and enhancing user experience through innovative features and data-driven insights across teams.

As a Principal AI Engineer, you will lead the architecture and deployment of large-scale conversational chatbot systems, optimizing their performance for enterprise and consumer use cases.

The role involves maintaining equipment readiness, performing preventive maintenance, troubleshooting equipment, and supporting safety practices in an engineering environment.

The Content Solutions Engineer supports pre-sales efforts by providing AI and MT expertise, designing solutions, and managing client relationships.

Support OT-IT integration, architecture governance, and engineering delivery for the Railway Common Data Platform. Coordinate EA reviews, stakeholder use cases, tender and vendor activities, and assist with wireframing and UI/UX for engineering use cases.

Senior Solutions Analyst responsible for delivering claims system enhancements and new product implementations. Duties include end-to-end process and systems analysis, AS-IS/TO-BE process mapping, requirements gathering, UAT planning and execution, defect resolution, post-implementation verification, stakeholder liaison, and mentoring analysts. Supports project planning, prioritization, and end-user training.

Design, build, and ship agentic AI applications that answer business questions over governed data. Implement RAG, NL-to-query, tool/function calling, and evaluation/guardrails. Partner with data teams on metrics, models, pipelines, and apply strong data governance and security for financial services.

Lead data analysis and automation for Compliance reporting, building ETL and analytics solutions with Python, SQL and Starburst; create Power BI dashboards; ensure BCBS 239 and data governance compliance; act as Compliance Data Steward; collaborate with stakeholders to improve data processes and conduct business impact assessments.

The role involves driving technical sales strategy for AI solutions, consulting on data architectures, and presenting to C-level executives, requiring extensive customer-facing experience and AI proficiency.

Lead technical AI security strategy for enterprise customers, advising on LLMs, RAG, agents, and data-protection architectures. Drive technical sales from discovery to close, deliver tailored demos and POVs, inject product feedback, and build reusable enablement assets and training to scale field adoption of secure AI solutions.

Lead end-to-end delivery of innovation and emerging-technology programs in a matrixed bank environment. Align stakeholders, enforce governance, manage scope, risks, testing, and vendor integrations to deliver compliant, measurable outcomes.

Lead design and implementation of cloud DevOps strategy for global Data and AI infrastructure. Build observability and detection capabilities, enable self-service tooling for data teams, manage scalable, secure infrastructure, and align DevOps practices and standards across geographies.

The Senior Manager will drive product vision and strategy in digital experiences for global brands, leveraging AI for customer-centric innovation and collaboration across teams.

The Assistant Director will lead technology capability development, oversee AI initiatives, foster industry partnerships, and drive business growth through innovative solutions.

Own full sales cycle for venture-backed startups in Singapore: source prospects, close deals, onboard customers, and grow accounts. Translate Airwallexs AI finance (AgentOS) into concrete use cases, run demos/discovery, build VC partnerships, seed customer stories, and represent the company at community events.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

The role involves being a technical advisor, focusing on AI solutions within GitLab's DevSecOps platform, guiding strategy and value for customers, and leading technical evaluations and workshops.

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.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Lead procurement data strategy to enable agentic AI: design agent-embedded governance, define agent-consumable data requirements, build lineage/catalog foundations, establish machine-readable policies and feedback loops, run experiments, and coach cross-functional stakeholders to operationalize master data and data quality at scale.

Lead site-wide Process Analytical Technology (PAT) strategy and deploy real-time analytics, chemometrics, models and digital twins to enable advanced process control, closed-loop automation, and regulatory-compliant validation across ADC biologics manufacturing. Integrate PAT with MES/DCS/SCADA, drive capital projects, tech transfers, capability-building, and performance metrics to improve yield, robustness, and continuous verification.

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.

The role involves supporting equipment readiness, performing maintenance, troubleshooting equipment, and improving manufacturing productivity while coaching Associate Engineers.

Design, validate, and deploy AI algorithms for digital health projects. Lead technical innovation, support data platform development and retrospective analysis, collaborate with clinicians and biostatisticians, publish findings, prepare technical reports, and mentor junior AI researchers.