Top Artificial Intelligence Jobs in Malaysia

Leads an AI-native email app business end to end, owning P&L, strategy, product direction, team building, execution, growth, partnerships, operations, revenue, and profitability. Identifies customer and commercial opportunities, works with product, engineering, and design teams to launch products, and manages performance through rapid, hands-on decision-making.

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

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other 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 journeys, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI stockbroking and related 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 journeys; use research, feedback, experiments, and production data to improve decisions; launch features, monitor performance, and drive iterations while balancing speed, experience, business impact, compliance, and operational complexity.

Build and scale AI products using full-stack development, LLM integrations, APIs, databases, automation platforms, and testing frameworks. Improve production codebases, automate workflows, expand solutions across markets and teams, measure adoption, and support regulated environments. Collaborate with technical and business stakeholders, gather requirements, participate in architecture reviews, provide training, document solutions, and maintain coding standards. Candidates need at least three years of relevant experience and hands-on AI or LLM application experience.

Own AI stockbroking and other financial-services product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use data and customer feedback to guide decisions, monitor performance, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, feedback, experiments, and production insights to launch and continuously improve products.

Own product areas across financial services, including insurance, payments, savings, investing, and travel. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, metrics, feedback, experiments, and production insights to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship and improve financial products. Use research, feedback, metrics, experiments, and production insights to prioritize decisions and balance speed, user experience, business impact, compliance, and operational complexity.

Own financial product areas across insurance, payments, savings, investing, travel, and related 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 workflows, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own core platform features and AI-powered personalization across Binance’s main site, including homepage, user center, market pages, onboarding, recommendation strategies, and generative UI. Partner with engineering, design, data, ML, and business teams to define requirements, improve user journeys, increase conversion and engagement, establish success metrics, run experiments, and iterate on user-facing products.

Lead the evaluation and integration of production-ready AI for mission-critical cloud communications. Responsibilities include AI risk assessment, proof-of-concept development, engineering and support process optimization, audio and speech model integration, cloud dispatch intelligence, predictive infrastructure maintenance, and edge-versus-cloud architecture decisions. The role requires translating AI capabilities into measurable business value while ensuring security, reliability, cost efficiency, and performance.

Design, develop, test, and deploy cloud-based microservices and large-scale distributed systems. Build RESTful APIs, process structured and unstructured data, apply ML/AI algorithms, implement CI/CD and containerized deployments, refactor and review code, produce documentation, and collaborate across geo-distributed teams.

Lead supplier quality analytics for outsourced foundry, assembly and test partners. Build and maintain ELT pipelines, implement data validation and governance, create real-time dashboards (Spotfire/PowerBI), perform statistical analysis to detect drifts and defects, and drive continuous improvement and corrective actions. Support weekend rotation.

Research AI, machine learning, robotics, autonomous vehicles, and data annotation topics, then create technical blogs, case studies, explainers, whitepapers, and thought leadership content. Translate complex concepts into clear, commercially relevant narratives for enterprise audiences. Collaborate with technical, Growth, and Marketing teams, incorporate editorial feedback, optimize content for readability and SEO, source supporting research, and maintain consistent messaging across digital channels.

Design, build, and maintain scalable data connectors and integration frameworks that ingest and normalize data from enterprise systems and third-party platforms. Implement authentication, rate limiting, incremental sync, error handling, and observability. Deliver application integrations into collaboration platforms (Teams, Slack), create reusable SDKs/frameworks, and collaborate with product and engineering to produce reliable, maintainable integration solutions at scale.

Design and optimize AI/ML models for deployment on edge devices, collaborate with hardware engineers, and implement MLOps strategies.

Lead the Client Experience AI roadmap to improve chatbots and automation. Implement and integrate LLM/NLP solutions, enhance knowledge bases and workflows, measure performance with analytics, and drive cross-functional improvements in customer support efficiency and satisfaction.

The AI Specialist is responsible for building and maintaining AI infrastructure, architecting custom LLM solutions, and automating workflows using Python. Key tasks include system setup, data validation, and ensuring cross-functional technical alignment.

Assist in AI-driven market research, data organization, content creation, and campaign planning while gaining hands-on experience in marketing and design.

Manage a team of UAT testers, develop test strategies, oversee both manual and automated testing, and ensure quality assurance processes. Collaborate with cross-functional teams and implement improvements in QA methodologies.

Own product areas within BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define user problems, scope, metrics, roadmap and launch plans. Work cross-functionally with engineering, design, data, operations, compliance and business teams. Simplify complex financial products into usable journeys, launch features, monitor performance, iterate using data and feedback, and balance speed, UX, business impact and compliance.

Lead product direction, roadmaps, and success metrics for major AI neobank app areas. Guide PMs, designers, and engineers across squads; turn regulatory and operational constraints into product decisions; drive launch quality, post-launch learning, and continuous improvement across payments, savings, investing, insurance, and travel features.

Work within the WB Portfolio Management Unit to develop scorecard models, perform portfolio analytics (Basel EL/RWA), forecasting, regulatory stress testing, reporting, dashboard development and automation, stakeholder engagement, UAT/regression testing, and support systemisation initiatives using Python and visualization tools.