Senior Generative AI Lead for Enterprise Solutions (Azure)

Systems Limited - APAC

Kuala Lumpur

On-site

MYR 180,000 - 360,000

Full time

48 hours ago
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Job summary

Systems Limited - APAC Lead AI Engineer – Generative AI will architect and deliver enterprise-grade AI solutions using LLMs, RAG, and Agentic AI across Azure and on-premises. You will mentor onshore/offshore teams, engage government and enterprise clients, and drive secure, scalable deployments in bilingual environments.

The role requires deep expertise in AI platforms, data governance, system integration, and strong communication with stakeholders.

Qualifications

  • 5–7+ years of experience including 2–4 years in Generative AI and leadership.
  • Strong hands-on Python, FastAPI/Flask, REST APIs, and microservices.
  • Experience with Azure OpenAI, GPT models, prompt engineering, and responsible AI.

Responsibilities

  • Lead design and implementation of enterprise-grade AI solutions aligned with architecture standards.
  • Define technical architecture, frameworks, coding standards, and best practices.
  • Mentor a mixed onshore/offshore AI team; conduct design and code reviews.
  • Engage government and enterprise clients; lead workshops and architecture presentations.
  • Identify risks, estimate effort, plan sprints, and review milestones.
  • Develop production-grade Generative AI apps using LLMs and RAG techniques.
  • Design enterprise-scale RAG and Agentic AI solutions with governance.

Skills

Python
FastAPI/Flask
REST APIs
Microservices
Azure OpenAI
GPT models
Prompt engineering
Agentic AI
RAG
AI governance

Education

Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field

Tools

Azure AI Foundry
LangChain/LangGraph
Cosmos DB
MongoDB
Azure Storage
Azure DevOps

Job description

Systems Limited - APAC Lead AI Engineer – Generative AI will architect and deliver enterprise-grade AI solutions using LLMs, RAG, and Agentic AI across Azure and on-premises. You will mentor onshore/offshore teams, engage government and enterprise clients, and drive secure, scalable deployments in bilingual environments.

The role requires deep expertise in AI platforms, data governance, system integration, and strong communication with stakeholders.

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