Top Artificial Intelligence Jobs in Malaysia

Drive new-logo acquisition and expansion across Napier AI’s Asia-Pacific client base. Build territory plans, develop senior relationships within financial institutions and regulated organizations, manage complex enterprise sales cycles, deliver proposals and business cases, navigate procurement and legal processes, negotiate commercial terms, and partner with internal teams on upsell, cross-sell, renewals, and customer growth.

Manages credit risk across customer portfolios by reviewing financial information, assessing creditworthiness, recommending credit limits, monitoring exposure and payment performance, maintaining credit records, and resolving account issues. The role prepares risk reports, reviews orders, ensures compliance with financial controls and Sarbanes-Oxley requirements, collaborates with cross-functional stakeholders, approves credit proposals, and supports process improvements and team leadership.

Manage and operate the Databricks Lakehouse and MLOps platform, ensuring availability, security, governance and cost optimisation. Lead incident/change/service management, define MLOps frameworks and CI/CD for model lifecycle, collaborate with engineering and data science to deploy and monitor models, and manage vendors and platform roadmap.

Leads end-to-end Record-to-Report process architecture across 16 European and APAC markets. Owns standardization, IFRS-compliant continuous close, SAP S/4HANA optimization, automation, AI adoption, internal controls, and SSC governance. Manages and develops the regional R2R team while partnering with IT, accounting, tax, audit, and finance leadership to deliver large-scale transformation and improved reporting accuracy.

Leads enterprise AI transformation across banking business units, identifying use cases, developing strategies, and overseeing AI projects from proof of concept through deployment and monitoring. Collaborates with business, data science, engineering, and IT teams; evaluates technologies and vendors; establishes responsible AI governance; mentors specialists; and presents business cases and recommendations to senior management.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Own the roadmap for lead generation, business data enrichment, and AI-powered sales experiences across Southeast Asia. Define data quality standards, entity resolution, CRM integration, AI context requirements, experiments, and measurable commercial outcomes. Partner with Engineering, Sales, Marketing, Legal, and GTM AI teams to deliver improved lead qualification, pipeline, conversion, and operational efficiency. Explore data and prototype solutions in Python while Engineering handles production implementation.

Execute risk-based IT audits across systems, applications, cloud, infrastructure, and information security processes. Assess controls, document findings, support remediation, and advise on technology initiatives. Participate in AI, analytics, automation, and digital transformation engagements while improving audit methodologies and efficiency. Collaborate globally with technical and non-technical stakeholders to identify risks, control gaps, and operational improvements.

Develop and govern enterprise cybersecurity architecture for cloud, data, and AI environments. Lead security strategy, standards, roadmaps, solution evaluations, architecture governance, risk assessments, regulatory alignment, incident resilience, and stakeholder communication. Mentor cybersecurity architects and engineers while enabling secure adoption of cloud platforms, analytics, and artificial intelligence across a large hybrid and multi-cloud enterprise.

Lead Optasia’s APAC sales organization, developing regional strategy, driving revenue and market expansion, and building strategic partnerships with mobile network operators, mobile wallets, fintechs, digital banks, and financial institutions. The role manages senior stakeholder relationships, leads and scales the regional sales team, monitors market and regulatory trends, oversees forecasting and pipeline performance, supports proposals and RFPs, and represents the company at industry events.

Build end-to-end web applications with responsive front ends, scalable backends, real-time interfaces, and integrated AI/LLM capabilities. Responsibilities include connecting models and APIs, vector databases, and streaming services; optimizing performance, security, and reliability; managing schemas and caching; and supporting automated testing, CI/CD, and cloud deployments.

Develop and test Generative AI solutions with business and technical teams. Build and document AI agents, custom GPTs, and prototypes using prompt engineering, APIs, and automation tools. Assess AI use cases, trends, risks, and governance considerations while applying security, privacy, and responsible AI practices. Maintain project documentation and communicate findings through guides, presentations, and team discussions.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Maintain and support ELV and critical facility systems, including UPS, access control, networks, solar monitoring, VFDs, PQMS, FMCS, BMS, and SCADA. Lead AI, machine learning, IIoT, predictive maintenance, dashboards, digital twins, intelligent alarming, and smart-facility initiatives. Manage contractors, facility upgrades, CAPEX projects, troubleshooting, root-cause analysis, documentation, and EHS compliance while collaborating with Automation, IT, Cybersecurity, and Facilities teams.

Lead technical design and hands-on execution for complex products and systems. Responsibilities include architecture, coding, code reviews, debugging, production reliability, technical decision-making, mentoring engineers, identifying risks, and collaborating with product, design, and AI teams. The role owns initiatives from problem definition through production, improves engineering practices and tooling, and ensures scalable, secure, maintainable systems.

Lead technical design and delivery of scalable, reliable payments systems across backend, frontend, APIs, databases and infrastructure. Hands-on coding, code reviews, architecture decisions, mentoring, production ownership, observability and cross-team collaboration to ship high-quality products.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable customer-facing systems. Drive architecture, code quality, testing, observability, incident response, and engineering processes while coaching engineers and delivering product outcomes quickly and reliably.

Reviews and rates graphic design samples against detailed criteria for typography, color, composition, hierarchy, layout, and polish. Edits flawed slides using reference designs, maintains consistent ratings across repetitive tasks, and flags edge cases. The role is fully remote, freelance, project-based, and supports AI model training.

Oversee AI programme claims and payment operations, including provider onboarding, claims verification, reconciliation, governance, audit support, fraud-risk detection, investigations, reporting, and process improvement. The role coordinates policy, finance, procurement, technology, providers, and government stakeholders while safeguarding public funds and strengthening operational controls.

Supports commercial finance activities within the Upstream Finance and Risk team, including joint venture audit and compliance assignments, data extraction and analysis, supporting-document reviews, and departmental meeting and event planning.

Owns AML product and process improvement initiatives across transaction monitoring, investigations, KYC/EDD, sanctions screening, suspicious transaction reporting, and case management. Partners with AML, Compliance, Data, Engineering, and AI teams to translate regulatory needs into scalable solutions. Drives AI and automation adoption, workflow redesign, human controls, auditability, and measurable improvements in productivity, turnaround time, false-positive reduction, investigation quality, and control effectiveness.

Design, develop, test, deploy, and support RPA and agentic AI solutions. The role analyzes business processes, translates requirements into agentic workflows, integrates APIs and applications, creates technical and agent design documentation, validates AI outputs, tunes prompts, resolves incidents, and supports client adoption. It requires collaboration across consulting engagements, adherence to automation and change-management practices, and willingness to travel 50% or more.

Develops and supports dispatching and full-automation software solutions for semiconductor manufacturing. Responsibilities include solution analysis, design, coding, code reviews, documentation, integration, testing, product assurance, second-line automation support, customer requirement analysis, and global deployment assistance. The role troubleshoots complex factory systems, supports onsite customer rollouts, uses SQL and scripting for data manipulation, and provides informal guidance to new team members.

Partners with senior leaders and business managers on employee relations, workforce planning, talent and succession management, organizational design, compensation, performance, engagement, and career development. Uses people analytics and digital HR tools to guide workforce decisions, improve HR service delivery, and support transformation. Oversees senior employee lifecycle events, including onboarding, mobility, retirement, long absence, redundancies, and performance improvement plans.