Top Artificial Intelligence Jobs in Malaysia

Recruiters at Centific attract, screen, and select candidates for AI projects, focusing on multilingual profiles worldwide. They manage recruitment campaigns and qualifications.

The Gen AI Engineer develops and optimizes AI models for generating content and insights, collaborating with teams to enhance banking functions while ensuring compliance with regulations.

The Senior Gen AI Engineer leads the design and strategy for Generative AI use cases, focusing on user research, product management, and collaboration with cross-functional teams to drive AI innovations and solutions.

The Presales Engineer partners with sales teams to provide technical consultations, develops solution designs, and conducts product demonstrations to ensure customer satisfaction and engagement.

Perform remote part-time data tasks to improve Malay AI content, including data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

Design, build, and ship native Android features for an AI-enabled neobank using Kotlin. Collaborate with product and design, integrate backend APIs, improve performance and reliability, debug production issues, and implement on-device AI where it improves user flows.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Design clean user flows, integrate backend APIs, improve performance and reliability, debug production issues, and implement on-device AI where it enhances the experience.

Lead global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and optimisation, deploy AI editorial tools, set standards for AI content, measure performance, and drive adoption across product, technology and editorial teams worldwide.

Lead end-to-end AI, Generative AI and advanced analytics delivery for Marketing: discover and size use cases, design solutions (RAG, agentic workflows), prompt-engineer, deploy, monitor performance, and drive adoption via training, governance, and stakeholder engagement.

Drive HPE Private Cloud AI business through partners: develop joint business plans, generate pipeline and orders, align field sales, execute partner enablement and marketing, build executive partner relationships, recruit partners, and ensure partner compliance with HPE requirements.

Reviews and audits Simplified and Traditional Chinese AI annotation work for linguistic accuracy, consistency, and guideline compliance. Identifies recurring errors, provides feedback, escalates complex cases, supports calibration, and completes quality reviews within deadlines. The role requires strong Chinese and English proficiency, attention to detail, analytical thinking, and independent execution in a structured human-in-the-loop AI environment.

Lead client-facing consulting and delivery of Azure-based, AI-enabled full-stack applications. Architect cloud-native solutions, implement CI/CD and IaC, apply DevSecOps, deploy advanced rollout strategies, and establish monitoring/SRE. Drive pre-sales solutioning, technical leadership, and delivery of production-ready systems using Azure OpenAI, Azure AI Services, microservices, and custom ML models to meet business outcomes.

Developers will optimize and fine-tune large language models, design LLM-powered systems, create effective prompts, build full-stack generative AI applications, and apply domain-specific data and adaptation techniques to improve model accuracy and relevance.

Developers will optimize and fine-tune large language models, design LLM-powered systems and agentic applications, create effective prompts, apply domain-specific data and adaptation techniques, and build solutions across the full technology stack to improve response quality, contextual relevance, accuracy, and effectiveness.

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 and delivery of AI automation products, including reliable AI agents, tool-calling workflows, n8n automation pipelines, API integrations, and React-based interfaces. Partner with sales, content, and marketing to identify opportunities, then monitor, debug, and improve shipped solutions. The role requires strong product ownership, hands-on AI and automation experience, technical range across frontend and integrations, and fluency with LLMs and agent frameworks.

Architect and lead production-grade agentic AI systems that operate reliably at scale. Own solutions from architecture through deployment, monitoring, and adoption; resolve latency, hallucination, and scalability challenges; establish engineering standards through code and design reviews; document technical knowledge; and align engineering, compliance, and operations stakeholders on safe, effective architectures.

Build and ship production applications, platforms, and autonomous AI systems using AI-first development workflows. Responsibilities include ideating products, coding with tools such as Claude Code and Cursor, reviewing AI-generated code, creating automated guardrails, owning architecture through deployment, and iterating on live systems. The role requires full-stack development across frontend, backend, APIs, databases, and infrastructure, with a focus on rapid experimentation and continuous improvement.

Lead the transformation to AI-native engineering and operations in a high-stakes trading environment. Own the AI roadmap, re-engineer legacy architectures and human-led workflows, build real-time low-latency AI systems, and oversee full-stack engineering. Lead a global team of AI engineers and systems architects while driving self-healing systems, automated code generation, and high-performance platform evolution.

Owns production infrastructure and reliability engineering for high-availability trading services. Responsibilities include cloud, containers, databases, monitoring, CI/CD, infrastructure as code, incident response, security hardening, observability, remediation automation, and autonomous AI operations. The role designs, deploys, troubleshoots, and continuously improves resilient systems while participating in on-call operations and cross-functional security work.

An individual contributor creative technologist who designs static, motion, and video assets while building AI-powered workflows, scripts, and internal tools for high-volume marketing production. The role combines brand judgment, full-stack creative execution, prompt and workflow systems, API integrations, version control, quality assurance, and campaign-focused design. They will automate repetitive production tasks, create reusable systems, and help other designers produce scalable, on-brand creative.

Manage strategic customer relationships to position Cisco AI architectures, lead technical PoC/PoV engagements, develop proposals and forecasts, influence C-suite decisions, collaborate with solution engineers and account teams, and drive revenue expansion through complex, cross-architectural solutions and long-range account strategies.

The Product Manager will shape product roadmaps, collaborate across teams, analyze data, and develop marketing materials to enhance AI products for SMBs, driving user adoption and product success.

Build and improve AI-powered products, including chatbots, intelligent assistants, workflow automation, and AI-enhanced user experiences. Integrate AI models, APIs, and backend services; develop frontend and backend components; conduct API and automated testing; prototype concepts; improve reliability and performance; and collaborate with product and engineering teams throughout the product lifecycle.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.