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Salary
$107k – $254k per year (Estimated)
Location
In office (Singapore)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
Golden Agri-Resources (GAR) grows with purpose, combining agriculture expertise and supply chain innovation to deliver sustainable palm oil, food, feed, and bioenergy solutions trusted worldwide.

Job Description

  • 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.

Required Qualification(s)

Responsibilities and Skills

Education

Language(s)

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