Generative AI Solution Architect [up to RM 20k]

Randstad Malaysia; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Career Growth Opportunities

Excellent Benefits

Public Transport Accessible Location

Job summary

Randstad Malaysia is partnering with a growing financial services organisation to recruit a senior Generative AI Architect. You will design and deploy enterprise-grade GenAI solutions within Azure, develop robust RAG pipelines, and lead cross-functional teams across data engineering, DevOps, and product groups.

Required is 6+ years in software engineering, cloud architecture or ML, deep Azure expertise, LangChain, PyTorch/TF, and strong Python skills.

Qualifications

• 6+ years of professional experience in Software Engineering, Cloud Architecture, Data Science, or Machine Learning.
• Deep hands-on expertise with Microsoft Azure cloud infrastructure and scalable AI architectures.
• Proven experience with Azure AI Foundry for building and managing AI models and copilots.
• Extensive practical experience with LangChain for LLM orchestration and workflow design.
• Proficiency in PyTorch or TensorFlow and Python.
• Strong understanding of distributed systems, APIs, microservices, and containerization (Docker/Kubernetes).

Responsibilities

• End-to-End Architecture: Design, build, and deploy enterprise-grade Generative AI solutions.
• Azure Integration: Architect cloud-native AI solutions utilizing Microsoft Azure and Azure AI Foundry.
• Orchestration & Pipelines: Develop robust RAG pipelines and multi-agent workflows using LangChain.
• Custom Model Development: Build, train, and fine-tune models with PyTorch or TensorFlow.
• Security & Governance: Ensure data privacy and regulatory compliance for AI apps.
• Cross-Functional Leadership: Collaborate with data engineers, DevOps, and product teams to integrate GenAI into software ecosystems.

Skills

LangChain

PyTorch

Python

Azure

Azure Foundry

LLM Orchestration

Distributed Systems

Docker/Kubernetes

APIs

Microservices

Education

Vocational/Professional Qualification

Job description

• Career Growth Opportunities
• Excellent Benefits
• Public Transport Accessible Location

about the company

Randstad has partnered with a growing financial services organisation in Malaysia, offering a large range of products and solutions to their clientele. Your future employers have a steady reputation across the region for modern tech implementations that prioritize security, reliability and user experience across their platforms.

key responsibilities:

• End-to-End Architecture: Design, build, and deploy enterprise-grade Generative AI solutions, managing the entire lifecycle from concept and prototyping to production and monitoring.

• Azure Integration: Architect cloud-native AI solutions utilizing Microsoft Azure. Leverage Azure AI Foundry (Azure OpenAI, Azure Machine Learning) to host, deploy, and scale LLMs efficiently.

• Orchestration & Pipelines: Develop robust, secure Retrieval-Augmented Generation (RAG) pipelines and complex multi-agent workflows using LangChain.

• Custom Model Development: Utilize deep learning frameworks such as PyTorch or TensorFlow to build, train, and fine-tune specialized machine learning models when foundational LLMs require domain-specific adaptation.

• Security & Governance: Implement enterprise guardrails for AI applications, ensuring data privacy, regulatory compliance, and protection against prompt injection and data leakage.

• Cross-Functional Leadership: Collaborate closely with data engineers, DevOps, and product teams to seamlessly integrate GenAI capabilities into existing software ecosystems.

requirements:

• Experience: Minimum of 6 years of professional experience in Software Engineering, Cloud Architecture, Data Science, or Machine Learning.

• Cloud Platform: Deep, hands-on expertise with Microsoft Azure cloud infrastructure. Ability to design scalable and cost-effective AI architectures.

• AI Platforms: Proven experience working with Azure AI Foundry for building and managing AI models and copilots.

• GenAI Tools: Extensive practical experience with LangChain for LLM orchestration and workflow design.

• Machine Learning: Proficiency in classical ML and Deep Learning, with strong hands-on skills in PyTorch or TensorFlow.

• Programming: Advanced proficiency in Python.

• System Design: Strong understanding of distributed systems, APIs, microservices, and containerization (Docker/Kubernetes).

nice to haves:

• Experience with Vector Databases (e.g., Azure AI Search, Pinecone, Qdrant).

• Knowledge of MLOps / LLMOps practices (e.g., MLflow, Prompt flow).

• Experience with other orchestration tools like LlamaIndex or Microsoft Semantic Kernel.

experience

6 years

skills

generative AI, LangChain, NLP, LLM, Azure AI Foundry

qualifications

no additional qualifications required

education

Vocational/Professional Qualification