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NCS

ICT consulting, digital transformation, cybersecurity services

Data & AI Architect

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSingaporeNo salary listedHybrid

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
  • 8–12 years of experience in technology, including at least 5 years in data, AI, or solution architecture roles.
  • Strong hands-on experience in one or more cloud ecosystems: Google Cloud, AWS, or Azure.
  • Expertise in data engineering frameworks including Databricks, Spark, Kafka, Airflow, and dbt, and in modern AI architectures including large language models, retrieval-augmented generation, and agentic systems.
  • Familiarity with vector databases such as FAISS, Qdrant, Weaviate, or Chroma, and with MLOps/AIOps pipelines.
  • Ability to communicate with stakeholders and articulate technical strategy in business terms.

Responsibilities

  • Architect cloud-native data platforms and pipelines for ingestion, transformation, analytics, and visualization.
  • Design data lakehouse and real-time streaming architectures with strong governance and performance standards.
  • Ensure architectures support scalability, resilience, and security across cloud and hybrid environments.
  • Lead the design of AI and agentic architectures combining data pipelines, large language models, and reasoning engines.
  • Use frameworks such as LangChain, LlamaIndex, and retrieval-augmented generation to enable contextual, autonomous AI applications.
  • Leverage Google Gemini, Agentspace, AWS Bedrock, and Azure AI Studio to operationalize next-generation AI systems.
  • Oversee technical design and ensure end-to-end architecture quality across delivery teams.
  • Provide technical leadership on solution integration, cost optimization, and compliance.
  • Collaborate with software, cloud, and data engineers to embed AI capabilities into enterprise platforms.
  • Develop and promote AI-first and agentic design principles across NCS and with clients.
  • Create reusable blueprints, accelerators, and reference architectures to accelerate adoption.
  • Mentor teams to strengthen their engineering and AI capabilities.
  • Partner with clients to translate business needs into scalable data and AI solutions.
  • Collaborate with cloud and AI technology partners to co-develop industry offerings.
  • Represent NCS in technology forums and client showcases as a thought leader in data and AI innovation.

Desired Qualifications

  • Google Professional Data Engineer or Machine Learning Engineer certification.
  • AWS Certified Machine Learning or Data Analytics Specialty certification.
  • Microsoft Azure AI Engineer Associate certification.
  • Databricks Certified Data Architect or Machine Learning Professional certification.

About the Company

NCS

ICT consulting, digital transformation, cybersecurity services

NCS delivers ICT services in the Asia Pacific region, including consulting, digital transformation, technology solutions, and cybersecurity for government and private sector clients. It offers advisory, implementation, and managed services, supported by three innovation centers in Singapore, Melbourne, and Shenzhen and a workforce of about 13,000 across 20 cities. The company emphasizes long-term client partnerships, regional scale, and practical solutions developed at its innovation centers. Its goal is to help clients navigate digital transformation and cybersecurity while maintaining ethical conduct and transparent governance.

Company size
10,001+
Company stage
Grant
Total funding
$780K
Headquarters
Singapore, Singapore
Founded
1981

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