• Lead, guide, and manage day-to-day activities of Agentic AI Engineers and Specialists, ensuring delivery quality, team alignment, and technical excellence.
• Translate the AI strategy and roadmap defined by the Head of AI-COE (CBS) into actionable project plans, technical designs, and delivery milestones.
• Provide technical leadership and hands-on guidance in the design, development, and deployment of AI agents, copilots, multi-agent systems, and intelligent automation workflows.
• Review and approve AI solution architectures, code quality, prompt engineering standards, and integration patterns to ensure scalability and maintainability.
• Mentor and upskill team members in LLMs, Agentic AI frameworks, RAG architectures, API integration, and modern AI tooling.
• Manage sprint planning, task allocation, progress tracking, and delivery reporting for AI engineering projects within the team.
• Collaborate with business stakeholders, product owners, and technical teams to gather requirements, validate solutions, and drive adoption of AI capabilities.
• Coordinate with the Head of AI on resource planning, risk escalation, AI governance compliance, and strategic prioritisation.
• Drive rapid prototyping, proof-of-concept (POC) initiatives, and innovation experiments, ensuring findings are structured and actionable.
• Monitor AI system performance, reliability, and operational effectiveness; lead continuous improvement efforts and post-deployment optimisations.
• Contribute to the development of reusable AI modules, automation frameworks, documentation standards, and knowledge-sharing practices across the team.
• Support the Head of AI-COE (CBS) in evaluating emerging AI technologies and identifying opportunities for enterprise-wide adoption.
Responsibilities and Skills
Education
Language(s)
Skills Required
- Proven experience leading and managing AI engineering teams
- Hands-on experience designing, developing, and deploying AI agents and multi-agent systems
- Expertise with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures
- Proficiency in prompt engineering and modern AI tooling
- Experience reviewing and approving solution architectures, code quality, and integration patterns
- Experience with API integration and building scalable, maintainable systems
- Agile delivery experience including sprint planning, task allocation, and progress tracking
- Ability to mentor and upskill engineers in LLMs, agentic frameworks, and RAG
- Experience driving rapid prototyping, POCs, and producing actionable findings
- Experience collaborating with business stakeholders and supporting AI governance and risk escalation
What We Do
Golden Agri-Resources (GAR) is one of the largest palm oil plantation companies in the world. Our plantations are located in Indonesia and we manage more than 500,000 hectares of palm oil plantations (including smallholder farmers). We are a leading seed-to-shelf agribusiness—from growing oil palms with farmers to producing food for the present and future. Sustainability is an essential part of our business and we are guided by our GAR Social and Environmental Policy (GSEP). The GSEP is the roadmap we share with our employees, smallholders, suppliers, and customers as we work together to realise GAR’s vision of a sustainable palm oil industry. GAR believes that farming palm oil is an effective way to create jobs and alleviate poverty, and provides opportunities for communities to secure a better livelihood for themselves. As one of the largest plantation companies in Indonesia, operating largely in rural and remote areas, we not only play an active role in the well-being of our employees, but also in the wider communities where we operate. Founded in 1996, GAR was listed on the Singapore Exchange in 1999 and the corporate office is located in Singapore. GAR has several subsidiaries which include PT SMART Tbk, our business operating in Indonesia; our distribution business in Europe and the US; PT Dami Mas Sejahtera, our certified DxP seed producer and supplier; and our various businesses in China
