AI Architect

Systems Limited - APAC; Kuala Lumpur; On-site; MYR 240,000 - 420,000; Full time

Job summary

Systems Limited - APAC is seeking an experienced AI Architect to design and govern enterprise-scale AI solutions that align with business objectives. The role requires deep expertise in AI/ML, data platforms, MLOps, and Generative AI frameworks across cloud environments.

Responsibilities include shaping architecture roadmaps, building scalable AI platforms, and ensuring security, governance, and responsible AI practices while collaborating with leaders, product, data scientists, and engineering

Qualifications

• 10+ years in AI/ML, data engineering, solution architecture, or related domains.

Responsibilities

• Define and drive the enterprise AI strategy, architecture roadmap, and governance framework aligned with business objectives.

Skills

AI architecture

Machine Learning

Generative AI

Data engineering

MLOps

NLP

Computer Vision

Cloud platforms

Python

SQL

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

TensorFlow

PyTorch

Hugging Face

Databricks

Spark

Kafka

Airflow

Docker

Kubernetes

Job description

Systems Limited - APAC is seeking an experienced and visionary AI Architect with 10+ years of overall IT experience, including significant expertise in Artificial Intelligence, Machine Learning, Generative AI, Data Science, Cloud Architecture, and Enterprise Solution Design. The ideal candidate will be responsible for designing, architecting, and governing enterprise-scale AI solutions that align with business objectives. This role requires deep technical expertise in AI/ML technologies, cloud platforms, data engineering, MLOps, and modern Generative AI frameworks while collaborating with business leaders, product teams, data scientists, and engineering teams.

Key Responsibilities

• Define and drive the enterprise AI strategy, architecture roadmap, and governance framework aligned with business objectives.
• Design scalable, secure, and cloud-native AI platforms to enable enterprise-wide AI adoption.
• Architect and deliver Generative AI solutions leveraging LLMs, RAG frameworks, AI Copilots, Chatbots, and Intelligent Knowledge Systems.
• Design and implement Agentic AI and Multi-Agent Systems (MAS) to automate complex business processes and decision-making.
• Develop AI orchestration, prompt engineering, model customization, and Human-in-the-Loop (HITL) frameworks.
• Build and oversee end-to-end AI/ML platforms, including model development, deployment, monitoring, and optimization.
• Lead the implementation of NLP, Computer Vision, Recommendation Engines, Forecasting, and Predictive Analytics solutions.
• Architect AI-ready data platforms, data lakes, vector databases, and enterprise knowledge repositories.
• Establish MLOps/LLMOps practices, CI/CD pipelines, observability, governance, and operational excellence for AI solutions.
• Ensure AI solutions adhere to security, compliance, responsible AI, and data governance standards.
• Evaluate emerging AI technologies and provide strategic recommendations for innovation and business transformation.
• Collaborate with business and technology stakeholders to translate organizational challenges into scalable AI-driven solutions.

Requirements

• 10+ years of experience in AI, Machine Learning, Data Engineering, Solution Architecture, or related domains.
• Strong expertise in AI/ML, Deep Learning, NLP, Computer Vision, Predictive Analytics, and Generative AI solutions.
• Hands-on experience with LLMs, RAG, Prompt Engineering, AI Agents, Agentic AI, Multi-Agent Systems, and AI Copilot development.
• Proven experience working with OpenAI, Azure OpenAI, Claude, Gemini, Llama, and other leading AI platforms and foundation models.
• Proficiency in modern AI frameworks and tools including LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, TensorFlow, PyTorch, and Hugging Face.
• Strong programming skills in Python and SQL, with experience building APIs, microservices, and enterprise-grade applications.
• Experience with Vector Databases, Knowledge Retrieval Systems, and Enterprise Search platforms.
• Expertise in building scalable AI-ready data platforms, data lakes, and real-time data pipelines using technologies such as Databricks, Spark, Kafka, and Airflow.
• Strong experience with Microsoft Azure, AWS, and/or Google Cloud, including AI and Machine Learning services.
• Solid understanding of MLOps, LLMOps, DevOps, CI/CD, Docker, Kubernetes, MLflow, and AI observability practices.
• Knowledge of Responsible AI, AI Governance, Security, Data Privacy, Risk Management, and Regulatory Compliance.
• Proven ability to define AI strategy, enterprise architecture, governance frameworks, and technology roadmaps.
• Experience integrating AI solutions with enterprise platforms such as ERP, CRM, HRMS, and business automation systems.
• Excellent leadership, stakeholder management, problem-solving, and communication skills with a track record of leading large-scale AI transformation initiatives.