AI & Data Platform Architect

仕事内容:

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 executives and project stakeholders.
• Provide technical leadership and mentoring to development and engineering teams.
• Conduct architecture reviews and technology assessments.

Required Qualifications

• Bachelor's or master’s degree in computer science, Information Technology, Data Science, or related field.
• 10 + years of IT experience with at least 3+ years in Solution Architecture.
• Strong experience designing enterprise Data and AI solutions.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience leading architecture discussions and technical governance.

Required Technical Skills

Data Technologies

• Data Warehousing
• Data Lakes and Lakehouse Architectures
• ETL/ELT Design
• Data Modeling
• Data Governance and Data Quality
• Real-time Data Streaming
• Databrics
• Snowflake / Microsoft fabric

AI & Machine Learning

• Machine Learning lifecycle and model deployment
• Generative AI and Large Language Models (LLMs)
• RAG Architectures
• Vector Databases
• Prompt Engineering
• AI Governance and Responsible AI

Cloud Platforms

• Microsoft Azure
• Azure Data Factory
• Azure Synapse
• Azure Databricks
• Azure AI Services
• Azure OpenAI
• AWS
• S3
• Glue
• Redshift
• SageMaker
• Bedrock

Programming

• Python
• SQL
• Spark/PySpark
• REST APIs

DevOps & MLOps

• Git
• CI/CD
• Docker
• Kubernetes
• Terraform
• MLflow

その他:

Job Types: Full-time, Contract renewal

Benefits:

• Health insurance
• Professional development
• Promotion to permanent employee

License/Certification:

• work authorization in Singapore WITHOUT COMPANY SPONSORSHIP (Required)

Work Location: In person