Enterprise AI Architect: GenAI Platform & Strategy

Far East Organization; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Far East Organization seeks an AI Architect to establish scalable, enterprise AI capabilities spanning data and application layers. The role will drive AI reference architecture, platform standards, and governance to enable GenAI, LLM, and RAG across business units.

You will guide delivery teams, align with cybersecurity, data governance, and enterprise architecture, and ensure secure, scalable AI integration across cloud, hybrid, and on‑prem environments.

Qualifications

• 8–12 years in software/data/cloud/AI architecture or related roles; 12+ years for principal/lead levels.
• 3–5 years hands-on in production AI/ML or data/AI platform solutions.
• Strong experience with GenAI/LLM platforms such as Azure OpenAI, OpenAI APIs, AWS Bedrock, Vertex AI.
• Solid understanding of RAG, embeddings, vector databases, and document ingestion.
• Experience with MLOps/LMMOps, CI/CD, model registry, and deployment automation.

Responsibilities

• Define enterprise AI reference architectures, platform standards, and governance controls.
• Lead design for GenAI, LLM, RAG, AI agents, multi-agent workflows, and NLP solutions.
• Evaluate AI/ML technologies and select models/frameworks based on use case, risk, cost.
• Design AI-ready data foundations: ingestion, embeddings, vector search, knowledge graphs.
• Implement MLOps practices: registry, versioning, monitoring, drift detection, retraining triggers.
• Ensure secure integration with ERP, CRM, data platforms, IAM/SSO, and APIs.

Skills

GenAI/LLM tech

Cloud architecture

Python

SQL

MLOps/LLMOps

AI governance

Containerization

CI/CD pipelines

Azure/AWS/GCP

Enterprise architecture

Education

Degree in CS/IT/Engineering

Tools

Azure OpenAI

OpenAI API

AWS Bedrock

Vertex AI

LangChain

Semantic Kernel

LlamaIndex

LangGraph

Docker

Kubernetes

GitHub Actions

Azure DevOps

Job description

Far East Organization seeks an AI Architect to establish scalable, enterprise AI capabilities spanning data and application layers. The role will drive AI reference architecture, platform standards, and governance to enable GenAI, LLM, and RAG across business units.

You will guide delivery teams, align with cybersecurity, data governance, and enterprise architecture, and ensure secure, scalable AI integration across cloud, hybrid, and on‑prem environments.