Top AI Jobs in Singapore

Supports Group Tax Advisory through corporate tax, transfer pricing, GST, governance, controls, process documentation, data analysis, reporting, and digital transformation initiatives. The intern collaborates with stakeholders across Finance, Operations, Technology, and business functions while identifying process improvements and supporting AI and automation readiness.

Supports enterprise data engineering initiatives, including developing and maintaining data pipelines, preparing and validating data, improving data quality, automating manual processes, analyzing and reporting data, and exploring AI-driven solutions. Collaborates with engineering and business teams to gather requirements, translate them into data solutions, conduct testing, document work, and support continuous improvement across enterprise-scale banking data platforms.

Develops new enterprise business in Singapore by acquiring new client logos and selling complex hardware, software, and professional services solutions. Manages the full sales lifecycle, builds C-level relationships, profiles target accounts, executes account plans, coordinates inside sales activities, and maintains client and OEM partnerships. The role focuses on Cisco, data center, storage, compute, networking, unified communications, virtualization, and AI solutions while contributing to APAC sales strategy.

Develops new enterprise business in Singapore by acquiring new logos and selling complex hardware, software, and professional services solutions. Manages the full sales lifecycle, engages C-level decision-makers, profiles target accounts, builds client and OEM relationships, coordinates inside sales activities, and positions Cisco, data center, storage, compute, networking, virtualization, and AI solutions.

Lead the design, evaluation, deployment, and scaling of predictive Bio-AI models, multi-agent scientific workflows, RAG systems, and LLM applications. Build evaluation frameworks and production controls for model versioning, observability, monitoring, CI/CD, access control, auditability, and human review. Partner with scientists, bioinformaticians, and data engineers to transform scientific workflows into reliable AI capabilities and improve them through experimental feedback.

Designs and delivers research-based learning experiences for leaders, managers, and employees. Responsibilities include client consultation, needs analysis, curriculum facilitation and customization, learning content creation, executive coaching, and translating research into actionable insights. The role also builds client relationships, collaborates across teams, and uses emerging AI tools to enhance learning and coaching. It requires substantial travel across Southeast Asia and regular onsite work in Singapore.

Design and implement advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams, apply statistical analysis and machine learning to improve yields, maintain global control applications, and deliver training while promoting continuous improvement and responsible use of AI tools.

Build and deploy full-stack AI applications for smart manufacturing, including data pipelines, machine learning models, APIs, web interfaces, LLM integrations, automation tools, and observability. Develop containerized solutions with Docker and Kubernetes/OpenShift, contribute to CI/CD and MLOps practices, integrate robotics and manufacturing systems, and apply Responsible AI controls. Collaborate with data scientists, software engineers, and manufacturing stakeholders to improve operational decision-making and autonomous operations.

Develop and deploy production-grade AI and machine learning solutions for industrial manufacturing. Own projects from problem definition through operational integration, conduct data-driven optimization, advance ML and LLM-based methods, and collaborate with external partners. Coach employees on AI, establish standards, and advise stakeholders. The role requires Python, Azure, Kubernetes, infrastructure as code, cloud AI architectures, process simulation, optimization, and experience scaling ML systems.

Designs and deploys agentic AI, generative AI, RAG, machine learning, and data science solutions for global financial markets. Builds production-ready AI services, APIs, reusable frameworks, data pipelines, monitoring, and evaluation capabilities. Partners with stakeholders, product owners, data scientists, and engineers to translate business requirements into scalable, accurate, and cost-effective AI solutions.

The DMTS will lead CMP technology development, overcoming complex challenges and mentoring teams while shaping process innovations and strategy.

Provides expert guidance on securing AI systems throughout the development lifecycle in a railway operational technology environment. Reviews security submissions against frameworks including MITRE ATLAS, OWASP ML Security Top 10, NIST AI RMF, and IEC/ISO standards. Develops AI security guidelines, assesses supply chain risks, supports incident response, monitors emerging threats, and advises engineering and OT teams on secure AI implementation.

Create AI-assisted short- and long-form video, social content, explainers, advertisements, and educational assets across regional markets. Responsibilities include scripting, storyboarding, prompting, editing, voiceovers, subtitling, asset repurposing, channel planning, and creative optimization. Build scalable AI workflows, prompt libraries, templates, and SOPs; evaluate tools; train colleagues; and ensure brand, copyright, responsible-AI, and financial-services compliance. Collaborate with marketing, social, compliance, legal, and performance teams to improve content based on engagement data.

Leads regional business development and strategic partnerships for Igloo’s B2B2C embedded insurance business across Southeast Asia. Responsibilities include developing commercial strategy, generating revenue, securing and negotiating partnerships, structuring commercial models, launching insurance propositions, and scaling existing relationships across digital ecosystems. The role engages senior stakeholders and collaborates with insurance, product, technology, and operations teams to improve adoption, conversion, and commercial performance.

Own end-to-end marketing operations for APAC in-person and online events, including campaign intake, audience segmentation, registration, email execution, attendance tracking, lead scoring, routing, nurture, and sales handoff. Analyze campaign, engagement, and pipeline performance while maintaining data quality, privacy, consent, and governance standards. Partner across Field Marketing, Demand Generation, Marketing Technology, Sales, and offshore teams to manage timelines, risks, dependencies, and scalable operating procedures.

Design, build, and deploy production AI applications for semiconductor manufacturing. Responsibilities include developing full-stack machine learning solutions, APIs, web applications, data pipelines, LLM and agentic AI capabilities, analytics, and integrations with robotics, automation, control systems, and MES platforms. The role also leads deployment, observability, CI/CD, model evaluation, responsible AI, optimization, testing, mentoring, and technical documentation across global manufacturing environments.

Leads the architecture and delivery of production AI products for autonomous semiconductor manufacturing. Responsibilities span data engineering, machine learning, GenAI, full-stack applications, robotics integration, digital twins, simulation, and edge-to-cloud deployment. The role also owns CI/CD, observability, model evaluation, Responsible AI, performance optimization, technical mentorship, and cross-functional delivery across software, manufacturing, robotics, and infrastructure teams.

Own institutional crypto products including custody, brokerage, fee schedules, and incentive programs. Define product strategy and roadmaps, translate institutional client needs into shipped features, optimize operations through automation, and build AI-enabled product workflows. Lead commercial modeling, revenue and AUM analysis, stakeholder alignment, regulatory trade-offs, and cross-functional delivery with engineering, compliance, legal, sales, and external partners.

The AI Governance Manager will lead AI governance initiatives, ensuring ethical AI system deployment while overseeing compliance, risk assessment, and stakeholder engagement.

Serve as the technical expert for OpenAI Codex customers, designing and scaling AI-enhanced software development workflows. Build demos, integrations, automations, and reference implementations; lead technical workshops; contribute developer guidance; gather product feedback; and advise engineering organizations on architecture, security, operational readiness, and AI adoption strategy. The role requires Mandarin proficiency, substantial customer-facing technical experience, and strong expertise in AI coding tools and developer productivity.

Senior technical leader driving equipment and hardware innovation, supplier engagement, and multi-year manufacturing capability roadmaps to enable high-volume semiconductor production, AI-enabled automation, and cost/productivity improvements across global front-end sites.

Lead design and evaluation of cybersecurity architecture and controls for enterprise applications, specializing in blockchain and smart contract security. Provide technical guidance, perform threat modeling and security assessments, audit smart contracts, advocate secure SDLC practices, and recommend technology solutions.

Lead insurance transformation consulting projects from analysis through delivery, guiding client problem-solving, developing actionable solutions, mentoring consultants, conducting market analysis, and supporting business development. The role requires project leadership and business analysis experience in life or non-life insurance, especially Property & Casualty, with expertise in areas such as distribution, AI-led transformation, core systems, underwriting, claims, accounting, or process improvement.

Provides business analysis and consulting services for banking regulatory compliance, financial crime compliance, AML, and KYC initiatives. Automates manual processes, analyzes business-process inefficiencies, translates requirements into detailed documentation, and develops well-defined user stories for technical delivery. Builds client relationships, manages stakeholders, drives risk initiatives across functions, and applies project-management practices. Familiarity with Actimize or NetReveal is preferred, along with understanding of AI and emerging technologies.

Supports sales and relationship management for wealth and intermediary investment clients across Singapore and Southeast Asia. Responsibilities include client inquiries, market research, independent analysis, meeting preparation, relationship support, and communication of client expectations to internal teams. The role covers fund distribution and sub-advisory relationships, requires strong investment product knowledge and client-facing communication, and may involve travel.