Team Lead AI

Century Software (Malaysia) Sdn Bhd; Petaling Jaya; On-site; MYR 180,000 - 280,000; Full time

Job summary

Century Software (Malaysia) Sdn. Bhd. is seeking an AI Team Lead to drive AI development, intelligent automation, and digital transformation across the organisation.

You will lead a team of AI engineers, architect scalable AI solutions, and collaborate with stakeholders including government clients. The role requires hands-on expertise in Generative AI, LLMs, Claude AI, AWS cloud services, and AI engineering frameworks, with strong leadership and strategic planning abilities to align AI

Qualifications

• Bachelor's Degree in Artificial Intelligence, Computer Science, Software Engineering, Information Technology, or a related discipline.
• Strong hands-on experience in Generative AI, Large Language Models (LLMs), and enterprise AI application development.
• Proficiency in AI engineering frameworks such as LangChain and LlamaIndex for developing internal workflow tools and product enhancements.
• Strong knowledge of Vector Databases, Knowledge Bases, and Retrieval-Augmented Generation (RAG) architecture.
• Experience integrating AI solutions with Claude AI / Anthropic models and AWS cloud services.
• Expertise in semantic search, contextual AI models, and enterprise knowledge retrieval.
• Ability to ensure AI solutions meet security and governance requirements, stringent production environment controls, and performance standards.
• Experience in AI system architecture, API integrations, deployment, and performance optimisation.
• Leadership & Project Management to lead and mentor a team of AI Engineers.
• Strong communication to bridge gaps between non-technical stakeholders and technical teams.
• Ability to translate complex internal business and government client requirements into high-impact AI use cases.

Responsibilities

• Lead, mentor, and develop a team of AI Engineers and ensure project delivery excellence.
• Develop and execute AI roadmaps, implementation strategies, and resource plans.
• Design, develop, and deploy AI-powered solutions using Claude AI, AWS, LangChain, LlamaIndex.
• Build internal AI workflow automation tools and enhance products with AI capabilities.
• Develop RAG solutions with Vector Databases and Knowledge Bases for enterprise apps.
• Collaborate with stakeholders and government clients to translate requirements into AI solutions.
• Oversee AI project delivery, resource allocation, and quality assurance.
• Identify opportunities to improve operations through AI integration and automation.
• Conduct AI awareness programmes, technical workshops, and knowledge sharing.

Skills

Generative AI

LLMs

AI engineering frameworks

LangChain

LlamaIndex

Claude AI

AWS cloud services

semantic search

enterprise knowledge retrieval

Education

Bachelor's Degree in AI/CS/Software Engineering/IT

Tools

Claude AI

AWS

LangChain

LlamaIndex

Vector Databases

Job description

Century Software (Malaysia) Sdn. Bhd. and lead the next wave of AI innovation!

We are looking for a passionate, technically strong, and forward-thinking AI Team Lead to drive AI adoption, automation, and digital transformation across our organisation.

We are seeking a highly skilled and forward-thinking AI Team Lead to spearhead AI development, intelligent automation, and digital transformation initiatives across our organisation.The ideal candidate will possess strong hands‑on expertise in Generative AI, Large Language Models (LLMs), Claude AI, AWS cloud technologies, and AI engineering frameworks, combined with the leadership capabilities to build scalable enterprise AI solutions.Key ResponsibilitiesLead, mentor, and develop a team of AI Engineers, ensuring technical excellence and effective project delivery.

• Develop and execute AI roadmaps, implementation strategies, and resource plans aligned with business objectives.
• Design, develop, and deploy AI-powered solutions using Claude AI, AWS, LangChain, LlamaIndex, and related technologies.
• Build internal AI workflow automation tools and enhance existing products with AI capabilities.
• Develop Retrieval-Augmented Generation (RAG) solutions, integrating Vector Databases and Knowledge Bases for enterprise applications.
• Collaborate with business stakeholders, internal operations teams, and government clients to translate complex requirements into practical AI solutions.
• Oversee AI project delivery, resource allocation, performance monitoring, and technical quality assurance.
• Identify opportunities to improve operational efficiency through AI integration and business process automation.
• Conduct AI awareness programmes, technical workshops, and knowledge‑sharing sessions to promote AI adoption.
• Establish best practices for AI architecture, security, governance, performance optimisation, and deployment.

Required Skills & Qualifications

• Technical ExpertiseBachelor's Degree in Artificial Intelligence, Computer Science, Software Engineering, Information Technology, or a related discipline.
• Strong hands‑on experience in Generative AI, Large Language Models (LLMs), and enterprise AI application development.
• Proficiency in AI engineering frameworks such as LangChain and LlamaIndex for developing internal workflow tools and product enhancements.
• Strong knowledge of Vector Databases, Knowledge Bases, and Retrieval-Augmented Generation (RAG) architecture.
• Experience integrating AI solutions with Claude AI / Anthropic models and AWS cloud services.
• Expertise in semantic search, contextual AI models, and enterprise knowledge retrieval.
• Ability to ensure AI solutions meet GRP/ERP database security requirements, stringent production environment controls, and performance standards.
• Experience in AI system architecture, API integrations, deployment, and performance optimisation.
• Leadership & Project ManagementProven ability to lead and mentor a team of AI Engineers.
• Strong capability to bridge communication gaps between non-technical stakeholders and technical development teams.
• Ability to translate complex internal business and government client requirements into high-impact AI automation use cases.
• Experience managing AI engineering resources, assigning responsibilities, reviewing technical deliverables, and monitoring project progress.
• Strong stakeholder management, analytical thinking, problem-solving, and communication skills.
• Ability to balance technical execution, strategic planning, and business priorities.