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Lead end-to-end AI initiatives, designing and deploying ML/GenAI solutions to accelerate product development and innovation in a large-scale engineering environment.
About the Role We are seeking a passionate AI Data Architect to design and build the data foundation that makes AI work well across Kuok Group —specifically, the hybrid vector and knowledge graph layer (the enterprise…
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Design and evolve an enterprise data platform for AI applications, focusing on RAG pipelines, vector databases, and governance standards.
Lead the AI data infrastructure for Grab’s Integrity team, building vector databases, multi-agent orchestration, and proactive guardrails to power autonomous risk-detection systems in real time.
Design and deploy ML, GenAI, and predictive models using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experiences.
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Builds and deploys ML models, GenAI apps, and predictive systems using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experience.
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI and data platforms.
Build secure, scalable data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for sensor and process data.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Design and optimize AI data pipelines, feature stores, and real-time inference systems using Python, Spark, and cloud infrastructure to power machine learning models.
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Build and secure data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for LLM applications.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Build and optimize large-scale AI search infrastructure, including web crawlers, embedding models, and high-performance vector databases for AI-powered search.
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