Top AI Jobs in Singapore

Develops, evaluates, qualifies, and deploys automated semiconductor packaging equipment. Responsibilities include defining equipment requirements, benchmarking suppliers, managing capital requests and purchasing specifications, establishing qualification criteria, transferring equipment to production, maintaining equipment maturity and capability records, enabling automation and process-control systems, and supporting supplier improvement initiatives and continuous improvement projects.

Leads manufacturing science and technology activities for biologics, API, and fill-finish processes. Owns technology transfer, validation, control strategies, risk assessments, investigations, CAPA, regulatory support, and process lifecycle documentation. Partners cross-functionally to resolve technical issues, improve process robustness, support inspection readiness, adopt digital solutions, and manage change. Provides technical coaching and makes science- and data-based decisions to protect product quality, supply reliability, compliance, and operational performance.

Lead APAC payments transformation initiatives from strategy through execution. Responsibilities include identifying growth and efficiency opportunities, conducting quantitative and root-cause analyses, developing business cases, managing project governance, optimizing processes and operating models, assessing regulatory risks, creating mitigation strategies, and coordinating cross-functional stakeholders to deliver scalable solutions.

Lead hypothesis-driven threat hunts across customer environments, correlating endpoint, cloud, identity, network, and third-party telemetry. Identify adversary activity, determine compromise scope, assess visibility gaps, author queries and automation, and convert findings into detections, mitigations, intelligence, and architectural improvements. Lead hunt workstreams during high-impact incidents, brief technical and executive stakeholders, support post-incident analysis, mentor colleagues, and provide customer-facing technical guidance.

Develop a proof-of-concept AI system that identifies and locates objects in 2D grayscale shadow images. Responsibilities include configuring hardware and software, collecting and annotating data, preparing datasets, selecting and comparing AI models, training and tuning models, automating testing, documenting results, and presenting findings through demonstrations, videos, and workshops.

Own the full-cycle new business sales process for financial services clients, including hedge funds, asset managers, investment banks, and research teams. Responsibilities include prospecting, consultative selling, product demonstrations, trial management, pipeline development, forecasting, quota attainment, and providing customer feedback to product and go-to-market teams.

Supports Sales Operations, Planning, and Enablement through data analysis, Power BI dashboards, scenario modeling, and actionable business insights. Develops area-level views, planning tools, and enablement capabilities for segmentation, territory design, resource allocation, and Fast Start execution. Identifies opportunities to apply AI, Copilot, and automation to simplify processes, reduce manual effort, and improve productivity across the organization.

Own the design, deployment, validation, and continuous improvement of Electronic Batch Records within a Manufacturing Execution System. Coordinate cross-functional teams to configure and test MES objects, maintain compliant documentation, train users, manage deviations and changes, troubleshoot shopfloor issues, and support audit readiness. The role helps improve batch cycle times, right-first-time performance, digital adoption, and reliable biologics manufacturing while applying GMP, SHE, and SOP requirements.

Leads regional go-to-market strategy, commercialization, customer engagement, and growth for Radiology Informatics and Advanced Visualization solutions. Drives AI-enabled imaging adoption, manages business funnels and risks, enables sales teams with value propositions and competitive positioning, and provides regional market insight to global portfolio teams. The role requires extensive healthcare IT sales or business development experience, senior stakeholder management, and multi-country commercial strategy expertise.

Leads Microsoft’s infrastructure policy agenda across Asia, shaping regional strategy, engaging senior government and regulatory stakeholders, aligning internal teams, directing coalitions, and advising executives on political and regulatory risks. The role supports infrastructure investment, AI and cloud policy, digital sovereignty, data residency, cybersecurity, public-sector procurement, community engagement, and market entry decisions.

Lead governance for AI-enabled capabilities across their lifecycle, including risk classification, impact assessments, security and compliance controls, monitoring, audits, third-party reviews, and remediation. Develop AI governance frameworks, policies, lifecycle gates, risk registers, and management reporting. Partner with engineering, cybersecurity, data, product, operational, audit, and vendor stakeholders to implement secure, explainable, responsible, and proportionate AI controls aligned with IM8, ISO 27001, and recognized AI governance standards.

Owns priorities, stakeholder alignment, and delivery outcomes for analytics-driven and AI-enabled solutions. The role identifies high-value business problems, translates them into use cases, shapes and tests prototypes, validates outputs, and drives deployment, adoption, and feedback. It requires strong actuarial or analytical expertise, technical fluency, business-facing experience, and the ability to influence senior stakeholders while operating as a hands-on innovation builder.

Manage day-to-day operations for an AI-supported peer feedback system in education. Responsibilities include coordinating prototype development, managing system design and developers, conducting data collection and educational evaluations, maintaining data-capture processes, preparing reports and presentations, supporting research investigators, and coordinating external stakeholders.

Manage strategic enterprise accounts through the full sales cycle, from pipeline generation to successful AI product deployment. Develop account plans, lead complex deal strategies, own consumption revenue targets and forecasts, engage C-level stakeholders, and partner with solutions, engineering, research, marketing, and product teams. Analyze account and market intelligence, support customer events, and contribute to organizational growth, hiring, and culture.

Leads the ABS Singapore Innovation and Research Center, overseeing its R&D and innovation portfolio. Builds relationships across maritime, offshore, academic, government, and technology stakeholders; identifies industry needs and emerging technology opportunities; develops and executes strategic R&D projects; coordinates scope, partnerships, and delivery; aligns activities with ABS strategy; leads technical teams; and represents ABS in industry and research forums.

Leads technology strategy for priority customer accounts, serving as a trusted advisor to senior business and technical stakeholders. Develops transformation roadmaps across AI, cloud, data, security, modern work, and business applications; identifies technology-led growth opportunities; and connects investments to measurable outcomes. Orchestrates specialists, engineers, partners, and customer success teams to drive adoption, value realization, governance, and execution. Creates executive briefings and represents customer needs internally.

Five-month internship analyzing semiconductor dry etch process and equipment data to identify variation, performance drift, productivity loss, and yield impacts. The intern will use statistical analysis, Python, SQL, JMP, Excel, dashboards, and AI-enabled methods to correlate manufacturing, metrology, and equipment data, then recommend process, hardware, recipe, or monitoring improvements.

Develop an AI-enabled dashboard for CMP equipment health and wafer breakage risk prediction. Analyze semiconductor manufacturing and equipment datasets, correlate maintenance and process indicators with breakage and yield excursions, build risk-scoring models, and create Power BI visualizations and automated engineering reports. The intern will collaborate with equipment engineers and gain experience in predictive analytics, reliability engineering, statistical analysis, and semiconductor manufacturing.

Lead enterprise-wide data governance frameworks, ownership models, risk controls, and lifecycle standards. Expand governance for AI, real-time, and unstructured data; partner with risk and technology leaders; develop playbooks, tools, and reporting; scale governance through automation; and lead a team of specialists while driving stakeholder alignment and continuous improvement.

Leads behavioural risk and organisational psychology initiatives within a bank’s second-line Operational Risk function. Responsibilities include strengthening risk culture frameworks, conducting mixed-method behavioural diagnostics, analysing misconduct and incident data, challenging root-cause assessments, designing interventions, developing surveys and dashboards, delivering training, assessing AI-related behavioural risks, and advising senior management across business, risk, HR, and technology teams.

Drives Zebra’s overarching channel strategy and strategic growth through critical partner relationships. Leads business planning, quota setting, forecasting, resource allocation, complex negotiations, risk management, and cross-functional initiatives. Builds relationships with corporate executives and industry influencers, develops innovative solutions for international markets, represents Zebra at industry events, and applies consultative and solution-selling techniques to deliver customer-specific strategies.

Provide technical guidance and enablement to partners across HPE cloud, networking, AI, and infrastructure solutions. Translate customer needs into technical requirements, support sales opportunities, build technical stakeholder relationships, and strengthen partner capabilities. The role requires pre-sales or solutions engineering experience, strong enterprise technology knowledge, clear communication, collaboration, and specified HPE certifications covering compute, storage, GreenLake, edge-to-cloud architecture, Morpheus, and private cloud AI.

Leads end-to-end GMP manufacturing execution for AstraZeneca’s Singapore ADC campus. Responsibilities include production scheduling, shopfloor leadership, safety and compliance, deviation and CAPA management, operational readiness, technical transfer, process validation, continuous improvement, digital and AI adoption, inspection readiness, performance management, and team development. The role coordinates cross-functional teams to deliver safe, compliant, right-first-time manufacturing performance across shifts.

Lead AI governance across the banking group by reviewing AI use cases, conducting risk assessments, maintaining inventories and documentation, implementing lifecycle controls and guardrails, coordinating with validators, auditors, compliance teams, and regulators, monitoring emerging regulations, and supporting AI governance councils. The role focuses on responsible use of traditional, generative, and agentic AI while improving governance processes and operational efficiency.

Leads global manufacturing equipment and capacity modeling, optimizing tool utilization, throughput, capital deployment, process flexibility, and equipment repurposing. Analyzes the financial and operational impacts of manufacturing changes, develops benchmarks and reports, and coordinates implementation across manufacturing, engineering, finance, procurement, supply chain, production, and planning teams. The role also explores AI-enabled tools to improve planning, reporting, and optimization.