Top Artificial Intelligence Jobs in Malaysia

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed KYC, transaction monitoring, limits, privacy, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Embed KYC, transaction monitoring, limits, privacy, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, design, compliance, operations, treasury, and finance.

Build, deploy, and optimize AI agents for marketing use cases. Own the agentic marketing roadmap and initiative portfolio, translate business needs into technical requirements, and coordinate integrations across marketing workflows, knowledge sources, CRM, and marketing automation platforms. Define data and governance requirements, develop testing and validation frameworks, and measure agent quality, workflow effectiveness, and business impact while partnering with technical and business stakeholders.

Own an AI-native finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI and LLMs with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory readiness, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Apply AI with evaluation, safeguards, and human oversight while coordinating compliance, operations, treasury, finance, design, and external partners.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with safeguards, evaluation, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Integrates regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Applies AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI-native neobank product vertical end to end, including strategy, roadmap, metrics, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI finance product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering, compliance, finance, treasury, operations, and design to build reliable products across regulated financial domains. Apply AI selectively with evaluation, safeguards, oversight, and failure handling while managing regulatory requirements, financial rails, security, scalability, and user trust.

Own an AI stockbroking product vertical end-to-end, including strategy, roadmap, technical design, delivery, launch, metrics, and regulatory requirements. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Apply AI with evaluation, safeguards, and human oversight while coordinating engineering, design, compliance, operations, treasury, and finance. Build reliable products across regulated financial rails and third-party dependencies.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, privacy, and licensing. Apply AI and LLMs with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, design, compliance, operations, treasury, and finance.

Own an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Embed regulatory requirements covering KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate KYC, transaction monitoring, limits, privacy, licensing, financial rails, and third-party dependencies. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning compliance, operations, treasury, finance, design, and engineering.

Lead pre-sales and solution development for AI-driven customer engagements. Translate AI and ML capabilities into business value, build demos/POCs, support sales and architecture activities, engage C-level stakeholders, mentor technical teams, and collaborate with partners to create profitable, cross-practice solutions.

Owns an AI-focused finance product vertical end-to-end, including strategy, roadmap, metrics, technical design, regulated money movement, AI evaluation, and launch readiness. Partners with engineering, design, compliance, operations, treasury, and finance to deliver reliable, compliant, scalable products. Ensures funds remain accurate, AI features are trustworthy, and trade-offs are clearly defended.

Lead product direction, roadmaps, priorities, standards, and success metrics across major AI stockbroking app areas. Guide PMs, product owners, designers, and engineers across multiple squads; balance UX, data, engineering, regulatory, operational, and business considerations; drive launch quality and continuous improvement; and build a high-performing product culture focused on measurable user value.

Lead product direction, roadmap, standards, and success metrics for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple workstreams, while balancing user experience, data, engineering, regulatory, operational, and business constraints. Drive launch quality, post-launch learning, continuous improvement, and a product culture centered on speed, clarity, user value, and measurable impact.

Lead product direction, roadmaps, standards, metrics, execution, and quality for major areas of KIRA’s AI Neobank App. Guide PMs, product owners, designers, and engineers across insurance, payments, savings, investing, travel, and related financial services. Translate regulatory and business constraints into product decisions, drive launches and continuous improvement, and build a high-performing product culture focused on user value and measurable outcomes.

Lead product direction, strategy, roadmaps, standards, and outcomes for major AI finance app areas. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Balance regulatory, operational, user, technical, and business constraints while driving launch quality, learning, iteration, and measurable customer impact.

Own product areas for KIRA’s AI Stockbroking App and broader financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, incorporate research and feedback, and prioritize improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Assist the IT audit team with control tests, support data requirements, research technologies, and provide recommendations for enhancements.

Own AI Investing product areas across financial services, defining user problems, product direction, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, metrics, experiments, and production insights to make decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Investing App and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use research and performance data to guide decisions, launch features, monitor outcomes, and drive continuous iteration while balancing speed, usability, business impact, compliance, and operational complexity.