Editorial summary

The company is building its group-wide AI capabilities with a focus on developing agentic AI solutions that create business value within clear governance and risk boundaries. The Head of AI (Agentic) will lead the Group’s AI agents team, shape the AI roadmap, establish governance frameworks, and enable business teams to safely build and manage their own AI agents, reporting to the Director of Group IT. Key responsibilities include defining strategy, governance, and implementation for enterprise-grade AI agents. The role offers a salary of 25,000 (currency unspecified).

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/head-of-ai-agentic-40715 first appeared in Job-Q.com on 29 Oct 2026]

The Company

Our client is building its group-wide AI capabilities, with a focus on developing AI agents that create business value while operating within clear governance and risk boundaries. The Group is investing in an AI agent platform to support the development and deployment of AI solutions across its businesses.

The Role

Reporting to the Director, Group IT, the Head of AI will lead the Group’s AI agents team, shaping the AI roadmap, establishing governance frameworks and enabling business teams to build and manage their own AI agents safely.

Key responsibilities include:

• AI Strategy & Roadmap: Partner with business leaders to prioritise AI agents and reusable building blocks based on business value and readiness. Maintain a group-wide roadmap, eliminate duplicated efforts and ensure each agent has a clear business owner and measurable outcome.
• AI & Data Governance: Establish policies governing permitted agent types, risk classifications, human supervision, deployment requirements and retirement. Own the Group’s common data definitions and reference records, and lead the Agent Governance Council and Data Governance Council.
• Team Leadership: Lead the Principal AI Engineer and, subject to future approval, three Forward Deployed Engineers across Singapore and China. Drive team development, platform performance and continuous improvement.
• Business Enablement: Empower business teams to design, build, operate and improve their own AI agents through training, technical guidance, design clinics and reusable examples. Ensure business teams retain ownership of their solutions.
• Platform & Supplier Management: Work with the Principal AI Engineer and the platform supplier to guide technical direction, assess performance and maximise platform adoption, reuse and cost efficiency.
• Stakeholder Engagement: Collaborate with business leaders and Group IT teams across Singapore, Thailand, Indonesia, Malaysia and China. Represent Group IT in relevant management and AI governance forums.
• Leadership Support: Act as a trusted partner to the Director, Group IT and provide leadership cover in the Director’s absence.

The Requirements

• Minimum 12–15 years of technology experience, including at least 5 years leading AI, data or software platform teams.
• Proven experience deploying AI, machine learning or AI agents into live business environments, beyond pilot projects.
• Experience establishing AI governance frameworks covering risk classification, human oversight, testing, deployment and retirement.
• Strong background in enterprise data governance, including common data definitions, reference records and data-sharing agreements across multiple businesses.
• Experience managing technology suppliers and licensed platforms, with the ability to evaluate technical direction and delivery.
• Practical understanding of how AI agents integrate with business systems and other agents.
• Working knowledge of Singapore’s PDPA, Singapore’s agentic AI framework and China’s Personal Information Protection Law (PIPL).
• Experience working across multiple businesses and countries, with the ability to communicate technical decisions in clear business terms to senior stakeholders.
• Excellent written and spoken English.
• Strong judgement, integrity and the ability to lead through influence, navigate ambiguity and remain composed under pressure.
• Bachelor’s degree in Computer Science, Engineering, Data Science or a related discipline. A Master’s degree is preferred.
• Certifications in AI governance, cloud architecture or data management are advantageous.

The Next Step

Interested candidates may submit their resumes via this portal or email their CVs (in Word format) to .

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