Top AI Jobs in Singapore

Leads Microsoft's Asia Digital Natives sales organization, managing sellers, revenue, Azure consumption, and AI workload targets. Develops team capability, drives pipeline and forecast discipline, executes regional go-to-market strategy, and coordinates field, partner, subsidiary, and solution-area alignment. Builds executive relationships with founders, CTOs, investors, VCs, accelerators, and ISVs while expanding digital-native customer coverage. Represents regional performance and investment needs to global leadership and promotes organizational health, diversity, and cross-market collaboration.

Drives regional rollout, design, development, deployment, enhancement, and monitoring of GenAI chatbot and voicebot solutions. Builds guided conversations and foundational capabilities, maintains documentation, supports program initiatives, and partners with stakeholders and marketing teams on adoption campaigns. Requires end-to-end AI project delivery, change management, AI/ML and LLM knowledge, analytical ability, teamwork, and strong communication skills.

MBA Summer Associates join consulting teams for 8–12 weeks, contributing to real client projects and developing hands-on strategy consulting experience. Responsibilities include strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data competencies to complex business challenges. Strong performers may receive full-time offers.

Conduct interdisciplinary research on AI and deepfake scams, related legal and cybercrime frameworks, and scam resilience. Coordinate research projects, experiments, data collection, grants, procurement, governance, events, partnerships, communications, budgets, and stakeholder engagement across academic, industry, and government organizations.

Assess and mitigate risks in AI projects, advise stakeholders on responsible AI guardrails, and test AI models and agentic systems for performance, safety, security, and explainability. Support AI governance, policy development, ethics research, regulatory monitoring, training, and external engagement. The role requires collaboration across technical and business teams and may involve hands-on development using Python, machine learning, generative AI, synthetic data, and explainable AI methods.

Intern will analyze semiconductor metrology datasets to evaluate workstation conversion performance, process capability, measurement effectiveness, and efficiency trade-offs. Responsibilities include learning metrology principles, partnering with engineering teams, exploring AI-assisted analytical workflows, developing data-driven recommendations, documenting findings, and presenting results. The role supports process integration and manufacturing productivity improvements while providing experience in engineering data analysis and semiconductor manufacturing.

Drives strategy, roadmap, requirements, delivery, and adoption of AI-enabled workflow products across design, tendering, construction management, and document intelligence. Partners with engineering, data, design, and business teams from discovery through launch, balancing automation with human oversight. Defines success metrics, evaluates models, embeds explainability and governance, manages AI risks, and iterates products based on adoption, efficiency, quality, and user satisfaction.

Own and prioritize the product backlog for Industrial & Physical AI: translate stakeholder needs into requirements, run hybrid agile/waterfall delivery, partner with engineering, manage vendors, lead UAT/change management and scale pilots across global fab construction and operations.

Develop machine learning models and agentic AI prototypes for semiconductor yield, reliability, testing, and manufacturing analytics. Prepare and transform high-volume engineering data, build feature-engineering pipelines, evaluate models, and explore workflow automation using engineering and enterprise tools. Deliver technical documentation, demonstrations, and presentations while collaborating with Product Engineers and AI mentors.

Manufacturing Equipment Engineering Intern supporting semiconductor manufacturing teams with process improvement, equipment optimization, yield and quality analysis, root cause investigations, and continuous improvement. The role involves analyzing production data, developing data-driven engineering recommendations, collaborating cross-functionally, and using AI, automation, advanced analytics, and digital manufacturing tools. Interns will produce technical documentation, project findings, improvement recommendations, and stakeholder presentations.

Industrial Engineering Intern supporting workflow analysis, process mapping, data analysis, and productivity improvements within planning and warehouse operations. The intern will identify inefficiencies, develop and test prototype digital solutions or MVPs using tools such as Python, Power BI, UiPath, and Microsoft 365, evaluate results, incorporate stakeholder feedback, and present recommendations. AI-enabled tools may be used to support documentation, workflow analysis, automation, and solution development.

Full-time intern developing an AI-enabled predictive analytics framework for SSD test equipment in a semiconductor manufacturing environment. Responsibilities include extracting, cleansing, and analyzing engineering data; building equipment health dashboards; performing statistical analysis; creating anomaly detection methods; identifying predictive maintenance opportunities; documenting results; and presenting recommendations. The role involves Python or SQL, data visualization, AI and machine learning concepts, equipment reliability, and collaboration with cross-functional engineering teams.

Owns customer acquisition, account management, renewals, revenue targets, forecasting, and complex AI-related sales programs for digital-native customers in Singapore. The role develops account strategies, builds executive relationships, supports successful deployments, analyzes market and account metrics, and collaborates with technical, product, marketing, and operational teams. It also contributes to recruiting, onboarding, company culture, and broader go-to-market strategy.

Owns end-to-end growth, renewals, expansions, and strategic positioning of Microsoft Services and Consulting offerings. Leads complex consultative sales, executive relationship management, account strategy, forecasting, negotiations, and cross-functional orchestration. Identifies opportunities involving cloud, AI, security, and consulting services while guiding customers toward measurable business outcomes. Requires at least six years of consultative sales experience, with ten or more years preferred.

Nine-week on-site summer internship supporting Tradeweb’s Corporate Division, with potential placements in Legal, Finance, or Risk. Interns will analyze problems, manage multiple projects, present action plans, learn about electronic trading and market structure, and explore applications of AI and emerging technologies. Successful interns may be considered for full-time employment after completing their degree.

Drive enterprise and commercial B2B sales for Salesforce Agentforce and Data 360. Identify, qualify, and develop opportunities; conduct technical discovery; present scalable AI and data solutions; create compelling points of view; and align Salesforce capabilities with customer objectives. Collaborate with account teams and cross-functional partners throughout the sales cycle while translating complex AI, cloud data, and platform concepts into measurable business value and exceeding sales targets.

Leads go-to-market strategy and execution for Microsoft’s AI Business Process solutions across Asia. The role drives revenue growth, pipeline acceleration, sales activation, partner-led demand generation, cross-functional alignment, field enablement, business planning, and data-driven investment decisions. It also synthesizes market and field insights to influence corporate GTM plans, product roadmaps, and solution strategy.

Design, build, integrate, test, and maintain complex software components for Singapore Government Agency products. Develop prototypes, define system architectures, apply Agile and DevOps practices, and use cloud and emerging AI technologies. Collaborate with UX designers, developers, engineers, and stakeholders to deliver enterprise solutions. Provide technical consultancy throughout the systems development lifecycle, including technical specifications, configuration, and testing.

Own the AI product vision, strategy, roadmap, and lifecycle across procurement and planning. Lead discovery, requirements, backlog prioritization, data-readiness assessments, and cross-functional delivery from proof of concept through production adoption. Partner with data scientists, data engineers, executives, procurement teams, and external stakeholders to develop AI, generative AI, and agentic solutions that improve cost efficiency, productivity, decision-making, and business-process automation.

Manage executive customer briefings and engagement programs at Microsoft's Singapore Experience Center. Partner with sales, account, content, speaker, and operations teams to design impactful agendas aligned with customer goals and account strategies. Drive program execution, stakeholder alignment, speaker sourcing, process improvement, demand generation, and measurable business outcomes. Use business intelligence, AI, customer feedback, and global best practices to improve consistency, efficiency, and customer experiences.

Manage enterprise customer accounts, grow new business and renewals, exceed revenue quotas, develop account strategies, and deliver accurate forecasts. Lead cross-functional teams involving sales engineering, customer success, renewals, and professional services. Build executive and partner relationships, conduct consultative security-platform sales, coordinate workshops, and expand opportunities through channel partners and system integrators.

Leads Microsoft's partner channel business across ASEAN and Korea, owning strategy, sales execution, pipeline, customer growth, renewals, consumption, and upsell through partners. Oversees managers and senior contributors, develops leaders, manages strategic partner relationships, drives cloud and AI sales motions, and aligns direct and partner-led teams. The role requires executive engagement, partner ecosystem development, commercial accountability, cross-market orchestration, and disciplined performance management.

Lead Alpaca’s global Trading API customer experience organization, including General and VIP Support. Build a follow-the-sun coverage model, establish service standards and KPIs, improve support through data, AI, automation, and self-service, and develop high-performing teams. Partner with Product, Engineering, Trading, Operations, Compliance, and Sales to resolve recurring issues, improve customer workflows, and support institutional trading customers.

Lead the design and delivery of production-grade enterprise decision management solutions for financial services clients across Asia. Responsibilities include decision architecture, predictive modeling, optimization, business rules engineering, model governance, LLM integration, and feedback-loop monitoring. Advise senior stakeholders on decision automation, mentor team members, support proposals and client workshops, and help build Capco’s decision intelligence practice. The role requires deep experience across insurance or wealth management decision logic, classical AI, BRMS platforms, scorecards, modern machine learning, and regulated financial services governance.

Supports accounting close activities, audits, reconciliations, subsidiary financials, reporting, and cost recovery. Participates in finance-system transformation through process redesign, SOP development, UAT, end-to-end testing, defect resolution, and change management. Drives continuous improvement using automation and AI tools, delivers training, and supports finance projects.