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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