Top AI Jobs in Singapore

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

Senior product leader responsible for Global Custody strategy, roadmap, commercialization, pricing, operating model and cross-functional integration. Drive innovation (including digital assets and AI), improve client experience, reduce processing risk, manage product lifecycle, governance, and stakeholder alignment across Coverage, Operations and Technology to deliver financial results and regulatory compliance.

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.

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.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

This role involves overseeing Technology risk governance and third-party risk management in a banking environment, ensuring adequate risk resolution and compliance with regulations while improving risk culture across teams.

As an Associate or Vice President in Treasury, you will lead global treasury initiatives, perform financial analysis, and collaborate on complex treasury projects, enhancing operational efficiency and profitability across international markets.

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

The Account Executive is responsible for managing key accounts, growing revenue, and enhancing customer relationships by understanding client needs and aligning SUSE's offerings to meet those needs.

The Senior Executive will manage participant communications, screening, data monitoring, report submissions, and adherence to study protocols in clinical research.

Apply AI and data analytics to manufacturing quality: visualize and diagnose production performance, perform root cause analysis, build prescriptive AI models, automate quality workflows, and modernize legacy Windows apps into web-based solutions to improve consistency and decision-making.

Lead development and evolution of the Group's AI risk framework, translate policy into practical controls, engage business and tech teams, monitor AI use cases, guide resolution of control gaps, and align frameworks with regulatory expectations and industry developments.

Design, build, and deploy production-grade AI solutions across knowledge assistants, document intelligence, automation, and predictive analytics. Develop end-to-end AI pipelines, write production-quality Python code, perform code reviews and validation, collaborate with architects and engineers, and ensure deployment readiness, monitoring, security, and scalability.

Lead design and delivery of enterprise AI/RAG solutions for insurance risk consulting: run requirements workshops, produce architecture and UX, define RAG and prompt engineering approaches, ensure security/compliance, mentor engineers, and oversee implementation to production.

Design and standardize enterprise AI-driven workflows and multi-agent ecosystems. Create playbooks, reference architectures, and platformised reusable components. Drive AI adoption across the CoE, lead innovation in agentic workflows, mentor teams, and translate customer and industry needs into scalable AI/ML products and process transformations.

As a Process Integration Engineer, you will optimize semiconductor processes, troubleshoot issues, and manage the introduction of new products to improve yield and quality.

Develop and maintain scalable backend systems, implement APIs, manage databases, and collaborate with stakeholders to deliver AI solutions.

Design, build, deploy and maintain scalable AI/ML applications, LLM services and data pipelines. Collaborate with data scientists and product engineers, ensure performant, reliable, and well-tested code, influence roadmap, and provide technical leadership and mentoring.

Design, build and deploy scalable full-stack web features, focusing on an internal AI-powered chat assistant. Ensure high-quality, well-tested code, maintain production reliability, participate in code reviews, collaborate with designers and stakeholders, and contribute to documentation and Agile delivery.

Design, build, and deploy AI-enabled products (RAG, retrieval, reasoning) and supporting web systems and data pipelines. Integrate emerging AI technologies, prototype rapidly, collaborate with cross-functional teams, and ensure robust, scalable, and secure software solutions that meet analyst needs.

Participate in a 14-day notification-sorting pilot using a Google Pixel 9+ as primary phone. Interact naturally with apps that generate notifications, complete daily sorting tasks and short feedback forms, and report technical issues. Must follow confidentiality and Upwork platform requirements.

Drive top-of-funnel pipeline for Cisco ThousandEyes across APJC by designing and executing AI-driven outbound campaigns, qualifying leads, nurturing prospects across channels, and handing off qualified opportunities to Account Executives. Monitor intent signals, re-engage lost opportunities, localize content for APAC, and help build repeatable GTM playbooks. Measured on pipeline created and revenue influenced.

Lead development and refinement of the banks AI risk framework; apply frameworks to use cases; review higher-risk AI applications; liaise with business, technology, and control owners; track remediation and emerging risk themes; prepare governance materials and monitor regulatory developments.

Lead development and maintenance of the banks Data and AI risk management framework, set data risk appetite and controls, translate regulatory expectations, codify standards, and ensure consistent definition and reporting of data risks and control gaps across the Group.

Lead integration of AI into the chip development lifecycle: design and import AI tools/processes, localize and promote adoption, train engineers, monitor effectiveness, coordinate cross-functional teams, and continuously optimize AI-enabled workflows to improve R&D efficiency and competitiveness.