Top AI Jobs in Singapore

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.

Manages research impact metrics, grant analytics, AI-enabled data automation, dashboards, and reporting. Develops data frameworks, visualizations, and ranking insights while coordinating research communications, publications, events, and faculty achievements. Supports management reports, meetings, and stakeholder engagement across academic, research, finance, communications, and innovation teams.

Build and deploy production-grade AI solutions for insurance and financial services, including multi-agent workflows, LLMs, RAG systems, neural networks, and automation pipelines. Responsibilities include model training and optimization, backend development, cloud deployment, production monitoring, regulatory compliance, ethical AI, troubleshooting, code reviews, and collaboration with technical and business stakeholders.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

Lead the development of MetaBrain decision-intelligence solutions by translating research and advisory methodologies into reusable software-enabled services. Define client decisions, data, logic, workflows, taxonomies, scoring rules, scenarios, evidence requirements, and acceptance criteria. Lead discovery, solution design, configuration, validation, pilots, advisor review, change control, and adoption. The role requires consulting or research leadership, quantitative interpretation, AI-assisted research experience, and cross-functional collaboration. Production coding is not required for the business-led role.

Develop and deploy machine learning models, predictive analytics, and agentic AI solutions for semiconductor manufacturing and engineering. Build scalable data pipelines and ML workflows using large-scale manufacturing datasets to improve yield, quality, reliability, cycle time, and cost. Integrate AI agents with enterprise platforms, mentor Citizen Data Scientists, lead technical initiatives, and support production deployment, MLOps, innovation, and AI adoption across Product Engineering.

Develop an AI agent for NAND product-development project execution, including project-risk detection, mitigation recommendations, workflow integration, and evaluation. The intern will study engineering workflows, prototype AI applications using generative AI, large language models, agentic frameworks, and data analytics, then deploy and document the solution while collaborating with product-development engineers and stakeholders.

Supports sales teams in advising legal departments on legal technology modernization. Conducts customer discovery, designs solutions, builds business cases, delivers tailored demonstrations, responds to RFPs and RFIs, and communicates the value of legal research, contract automation, matter management, and workflow solutions. Contributes to pipeline growth, deal strategy, account expansion, forecasting, and cross-functional customer feedback. Requires strong legal technology knowledge, consultative selling, presentation skills, and up to 10% travel.

Drive enterprise business development and consultative sales for custom AI solutions across APAC. Responsibilities include prospecting, building pipelines, leading discovery, mapping business needs to AI solution blueprints, negotiating complex contracts, developing cloud and technology partnerships, and closing five-figure to six-figure deals. The role also requires translating technical AI concepts into business value, advising on AI risks, collaborating with solution architects and marketing, and influencing product roadmaps.

Leads regional FP&A, including SG&A budgeting, forecasting, long-range planning, reporting, variance analysis, profitability, cash flow, and cost-control initiatives across Asia. Partners with senior leaders on investments, M&A, pricing, restructuring, and market entry. Oversees finance transformation, automation, analytics, controls, and compliance while managing a geographically dispersed finance team.

Lead APAC Account Managers to exceed renewal targets, reduce churn, expand customer relationships, and drive revenue growth. Coach and develop the team, manage forecasting and performance visibility, operationalize the customer journey, recruit talent, handle strategic accounts and escalations, and collaborate with Sales and Customer Success on renewals and expansion opportunities.

Leads Tether’s global technology expansion strategy, commercial partnerships, market entry, and deployment initiatives across AI, decentralized infrastructure, peer-to-peer systems, and digital finance. Builds relationships with enterprise, institutional, and government leaders; originates and closes major partnerships; coordinates product, engineering, legal, regulatory, and implementation teams; and develops scalable commercial playbooks. Oversees senior global teams, talent development, KPIs, execution, and strategic representation of Tether’s technology vision.

Develop automated test equipment solutions for custom semiconductor products, including test architecture, bring-up, characterization, screening, yield analysis, and fault root-cause analysis. Collaborate with design, DFT, operations, reliability, and customer teams to define test strategies and ensure product quality, performance, coverage, and high-volume manufacturing readiness. Use programming and scripting in Linux, with potential AI and machine learning applications for data analysis and test optimization.

Supports foundation IP development for edge AI SoCs through standard-cell circuit design, simulation, layout, characterization, and debugging. Uses Python, pandas, and scikit-learn to analyze timing, power, noise, and process-voltage-temperature data, identify outliers, and build predictive models that reduce simulation effort. The intern also performs DRC/LVS cleanup, investigates simulation mismatches, and documents findings for the IP team.

Leads FX overlay and trade support operations across FX, interest rate derivatives, and futures. Oversees trade lifecycle execution, operational risk, regulatory compliance, escalations, KPIs, and service delivery. Partners with Front Office, Risk, Compliance, Technology, and Change teams to resolve issues and deliver strategic initiatives. Drives process re-engineering, automation, AI adoption, regulatory change, and business onboarding while developing a high-performance operations culture.

Two-year graduate programme in Wealth Management, developing expertise in investments, financial planning, portfolio services, and client relationship management. Trainees will work with private-client and wealth-planning teams, support high-net-worth clients, analyze financial information, communicate recommendations, and build professional skills through training, mentorship, and industry qualifications.

Conduct deep AI and quantitative research for electronic trading by pre-training Transformer and time-series foundation models on large-scale financial datasets. Develop representations, architectures, self-supervised objectives, distributed training systems, fine-tuning methods, and evaluation protocols for alpha generation, pricing, execution, market making, and risk management. Study scaling laws, transfer learning, robustness, data efficiency, inference cost, and latency while collaborating with infrastructure engineers to build reusable model-training and serving components.

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.

Summer analysts will build and deploy machine learning, generative AI, and agent-based solutions; integrate complex datasets; develop predictive models; run experiments; analyze trends; and deliver actionable insights. They will also support data governance, risk management, data quality, privacy, and regulatory controls while collaborating with agile, cross-functional teams. The program includes mentorship, training, and potential full-time opportunities after graduation.

Provides senior technology consulting and technical leadership for HPC and AI deployment solutions. Designs enterprise architectures, leads cross-functional implementation teams, resolves complex multi-vendor technology issues, advises senior customer IT leadership, and supports proposals and sales activities. Develops reusable solutions, creates project plans and architecture specifications, presents at technical conferences, mentors consultants, and cultivates strategic customer relationships.

Lead the design, development, and deployment of agentic AI solutions for networking infrastructure, including RAG systems, network automation, predictive maintenance, anomaly detection, and intelligent network management. Architect scalable AI systems, establish governance and MLOps practices, collaborate with networking stakeholders, mentor AI engineers, troubleshoot complex issues, and guide strategic adoption of emerging AI technologies.

Supports sales engagements by delivering product demonstrations, understanding client challenges, scoping functional and technical requirements, leading solution discussions, and recommending Fenergo solutions. Builds relationships with clients and internal teams, contributes to RFx responses, aligns sales and professional services objectives, provides product feedback, and stays current on regulatory and industry developments.

Conduct paleoseismic trenching, fault-zone and bedrock analysis, geological sample characterization, laboratory testing, scientific data management, and technical reporting. The Research Engineer II role develops and validates operational seismic-processing software, integrates AI-assisted earthquake monitoring workflows, contributes to research publications, and mentors students. Roles require multidisciplinary collaboration, detailed documentation, and field or laboratory work.

Design and develop precision robotic platforms, mechanisms, automation equipment, fixtures, tooling, and sensor-integrated mechanical systems. Own requirements, concept development, detailed design, tolerance analysis, prototyping, testing, troubleshooting, and system integration. Perform structural, thermal, and vibration analyses while collaborating with multidisciplinary engineering teams to deliver innovative, reliable automation solutions for advanced manufacturing.

MBA summer associates join Roland Berger consulting teams for 8–12 weeks, working on real client projects across global offices. Interns apply strategic thinking, analytical and creative problem-solving, teamwork, entrepreneurial skills, and AI and data capabilities to complex business challenges. Outstanding performers may receive full-time offers.