Data & AI Architect: Cloud-Native, Agentic AI Leader

NCS Group; Singapore; On-site; SGD 180,000 - 250,000; Full time

Benefits offered by this job

Google Professional Data Engineer / ML

AWS Machine Learning / Data Analytics

Microsoft Azure AI Engineer Associate

Databricks Certified

Job summary

NCS Group is seeking a visionary Data & AI Architect to design and lead next‑generation data and AI solutions for clients across Singapore and the region.

You will define end-to-end architectures that connect data engineering, applied AI, and agentic intelligence—helping enterprises unlock data, automation, and generative AI. Collaborate with Google Cloud, AWS, Microsoft Azure, and Databricks to deliver scalable, intelligent platforms with measurable business value.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or related fields.
• 8–12 years of technology experience including 5+ years in data/AI/architecture roles.
• Strong hands-on cloud experience (GCP, AWS, Azure).

Responsibilities

• Design Data & AI Architectures for cloud-native platforms.
• Build data lakehouse and real-time streaming architectures with governance.
• Lead AI and agentic architectures using LLMs and RAG frameworks.
• Collaborate with engineers to embed AI capabilities into enterprise platforms.
• Lead delivery, assurance, and cost optimization across teams.

Skills

Stakeholder communication

Cloud expertise

Data engineering

AI architectures

RAG / agentic systems

LangChain

LLMs

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or related fields

Tools

Databricks

Spark

Kafka

Airflow

DBT

FAISS

Qdrant

Weaviate

Chroma

LangChain

LlamaIndex

RAG

Job description

NCS Group is seeking a visionary Data & AI Architect to design and lead next‑generation data and AI solutions for clients across Singapore and the region.

You will define end-to-end architectures that connect data engineering, applied AI, and agentic intelligence—helping enterprises unlock data, automation, and generative AI. Collaborate with Google Cloud, AWS, Microsoft Azure, and Databricks to deliver scalable, intelligent platforms with measurable business value.