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AI & Data Platform Architect
レック・テクノロジー・コンサルティング株式会社 · SG
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Job description
Req Technology Consulting
About Us
Founded in 2008 with a core expertise in database technologies, Req Technology Consulting, has grown into a premier technology consulting firm specializing in cloud, data, and AI solutions. Highly recognized for our technical excellence—including being named one of the "25 Most Promising Oracle Solution Providers" by APAC CIO Outlook—we partner with clients across industries to design, build, and operate scalable, secure, and data-driven platforms. Today, we leverage this strong infrastructure foundation to drive continuous innovation, helping organizations modernize their digital ecosystems and maximize the value of their data.
We foster a collaborative and inclusive work environment where continuous learning, technical mastery, and creative innovation are deeply encouraged. As we aggressively expand our capabilities into data analytics and cutting-edge AI fields for our business, we are looking for talented professionals who are passionate about working with the latest technologies, solving complex business challenges, and building the next generation of intelligent systems.
Role Overview
We are seeking an experienced AI & Data Platform Architect to design, architect, and lead the implementation of enterprise-scale Data, Analytics, AI, and Generative AI solutions. The ideal candidate will bridge business requirements and technology solutions, working closely with stakeholders, data engineers, data scientists, application teams, and cloud architects to deliver scalable, secure, and innovative data-driven solutions.
Key Responsibilities
Solution Architecture & Design
- Define end-to-end architecture for Data, Analytics, Machine Learning, AI, and Generative AI solutions.
- Translate business requirements into scalable technical architectures and implementation roadmaps.
- Design data platforms, data lakes, data warehouses, and modern analytics architectures.
- Create architecture diagrams, technical specifications, and design documentation.
- Ensure alignment with enterprise architecture standards and governance policies.
- Experience designing and implementing solutions aligned with Singapore Government technology standards and security requirements.
- Familiarity with the Singapore Government Commercial Cloud (GCC) environment and related governance frameworks.
- Understanding of GovTech architecture principles, cloud adoption guidelines, security controls, and compliance requirements.
- Experience working with government agencies, public sector organizations, or regulated environments in Singapore.
Data Engineering & Analytics
- Design batch and real-time data ingestion pipelines.
- Architect ETL/ELT frameworks and data integration solutions.
- Define data modeling strategies (dimensional, relational, and lakehouse architectures).
- Establish data quality, lineage, metadata, and governance frameworks.
- Support advanced analytics and business intelligence initiatives.
AI & Generative AI
- Architect Machine Learning and AI solutions for business use cases.
- Design Generative AI applications using LLMs, RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering techniques.
- Evaluate and recommend AI platforms, frameworks, and tools.
- Establish MLOps and LLMOps practices for deployment, monitoring, and governance.
- Ensure responsible AI, model explainability, and compliance requirements are addressed.
Cloud & Platform Architecture
- Design cloud-native solutions on AWS, Azure, or Google Cloud.
- Architect scalable and secure data platforms leveraging managed cloud services.
- Define infrastructure requirements, performance optimization, and cost management strategies.
- Collaborate with DevOps teams on CI/CD and Infrastructure-as-Code implementations.
Stakeholder Management
- Engage with business leaders and technical teams to understand requirements.
- Present architecture solutions to execut
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