About the Company - When you join GAR, you join something bigger. Big in scale, big in opportunities to grow, and big in impact. With over 100,000 employees across 14 countries, spanning Asia, Europe, North, and South America, Golden Agri-Resources (GAR) is one of the largest agribusinesses in the world. We manage over half a million hectares of palm oil plantations, including smallholder farms, across Indonesia. But our size is only part of the story. Since 1997, we’ve put sustainability at the centre of how we grow – working hand-in-hand with farmers, communities, and partners to deliver food, fuel, and a better future.
We’re a seed-to-shelf business rooted in palm oil, now expanding across other essential crops like sugar, soybean, sunflower, and coconut. Our people are our edge. We invest in them through global opportunities, cross-border exposure, and continuous learning, because growing a better business starts with growing our people. Here, your career feeds something meaningful – for the planet, for people and for generations to come.
About the Role - Responsible for leading, guiding, and managing a team of Agentic AI Engineers and Specialists in the design, development, and deployment of AI-driven solutions. The Lead of AI acts as the primary technical and delivery lead for the AI engineering team, bridging day-to-day execution with the strategic direction set by the Head of AI-COE (CBS).
The role focuses on:
• Team leadership & technical mentoring
• Agentic AI solution delivery & quality assurance
• LLM orchestration & AI workflow oversight
• Technical standards & best practice governance
• Stakeholder engagement & cross-team collaboration
• Continuous improvement & innovation facilitation
• AI project & delivery management
The position ensures consistent, high-quality delivery of AI initiatives across upstream, downstream, and corporate functions, while developing the team’s technical depth and operational maturity under the guidance of the Head of AI-COE (CBS).
Key Responsibilities:
- 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.
Job Requirements:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Software Engineering, or a related field. A Master’s degree is advantageous.
- Preference given to candidates with certifications or specialisation in:
o Artificial Intelligence & Machine Learning
o Cloud Platforms & Architecture
o Enterprise Architecture
o AI Governance & Responsible AI
o Agile / Project Management (e.g. Scrum Master, PMP)
- 5–9 years’ experience in AI/ML engineering, software engineering, or related digital technology roles, with at least 2–3 years in a technical lead or team lead capacity.
- Proven hands-on experience building LLM-based applications, AI agents, or automation workflows. Experience leading small-to-medium engineering teams in a fast-paced or agile delivery environment. Background in enterprise or multinational organisations is an advantage.
Disclaimer: GAR conducts recruitment solely through official channels and will never request payment or personal financial information; any communication outside these channels should be treated as fraudulent.