Lead AI Architect

NCS; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading technology solutions provider in Singapore is seeking a Lead AI Architect to design and implement advanced AI and ML solutions. The ideal candidate will have over 10 years of experience in IT development and expertise in AI technologies, including LLMs and data engineering. Responsibilities include leading teams to create scalable architectures, delivering AI applications, and ensuring compliance with governance standards. The role demands collaboration across teams and adherence to high-quality standards.

Qualifications

• 10+ years of IT development experience, including 5+ years implementing AI solutions.
• Proven experience in large-scale AI or data initiatives.
• Familiarity with responsible AI and data governance frameworks.

Responsibilities

• Lead the design and implementation of scalable AI architectures.
• Collaborate with architects, engineers, and product teams to deliver AI solutions.
• Ensure AI solutions align with overall IT architecture and governance principles.

Skills

Python programming

AI / ML frameworks (PyTorch, TensorFlow)

LLM frameworks (Transformers, LangChain, LlamaIndex)

RAG workflows

Embeddings and vector databases

Cloud AI services

Containerisation (Docker)

Kubernetes

MLOps tools

Data engineering

Education

Bachelor’s degree in Computer Science

Master’s degree (preferred)

Tools

MLflow

Vertex AI

SageMaker

Databricks

Job description

Job Description

As a Lead AI Architect (Principal IT Architect), you will be responsible for building, deploying, and optimizing enterprise-grade AI / ML and Generative AI solutions. This role leads the design and implementation of scalable AI architectures, LLM pipelines, and data platforms, while working closely with architects, engineering, and product teams to deliver production-ready, secure, and high-performing AI systems.

What will you do?

Enterprise AI Architecture & Strategy

• Design, define, and maintain the organisation’s enterprise AI architecture and standards
• Ensure AI solutions align with overall IT architecture, security, and governance principles
• Lead the team to ensure designs and code conform to approved architecture and standards

AI / ML & GenAI Solution Delivery

• Build, deploy, and optimise AI / ML and GenAI applications
• Implement LLM pipelines, RAG workflows, retrieval strategies, and vector database integrations
• Fine-tune, evaluate, and optimise LLMs for latency, accuracy, cost, and safety

Data & Model Engineering

• Build data ingestion, feature engineering, and model training pipelines
• Implement embeddings, retrieval optimisation, and model evaluation techniques
• Ensure AI solutions meet data quality, performance, and scalability requirements

Platform, MLOps & Observability

• Develop APIs, microservices, and automation supporting AI capabilities
• Implement monitoring, logging, prompt evaluation, and automated testing for AI systems
• Apply MLOps / GenAIOps practices for model lifecycle management

Collaboration & Quality Assurance

• Collaborate with architects, engineers, and product teams to deliver production-ready AI solutions
• Participate in peer reviews to improve solution quality, performance, and maintainability

Qualifications

The ideal candidate should possess :

• 10+ years of IT development experience, including 5+ years implementing AI solutions
• Strong Python programming skills with AI / ML frameworks (PyTorch, TensorFlow)
• Hands‑on experience with LLM frameworks and libraries (Transformers, LangChain, LlamaIndex)
• Experience implementing RAG workflows, embeddings, and vector databases (Pinecone, Milvus, Weaviate)
• Experience with cloud AI services, containerisation (Docker), Kubernetes, and serverless architectures
• Familiarity with MLOps / GenAIOps tools (MLflow, Vertex AI, SageMaker, Databricks)
• Strong grounding in data engineering, API development, and observability
• Understanding of responsible AI, prompt engineering, evaluation, and data governance frameworks
• Proven experience contributing to or leading large-scale AI or data initiatives
• Bachelor’s degree in Computer Science, Information Systems, or a related field
• Master’s degree in a related field (preferred)

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives.

We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.