Chief AI Platform & Capabilities Leader

Manpower; Singapore; On-site; SGD 350,000 - 480,000; Full time

Job summary

Manpower is seeking a senior, hands‑on AI engineering leader to build and scale enterprise AI capabilities across a large organization in Singapore.

Reporting to executive leadership, this role owns the strategy, architecture, development, deployment, and continuous improvement of reusable AI services and platforms spanning AI/ML, GenAI, agentic AI, optimization, digital twins, IoT, and conversational analytics.

Responsibilities

• Define AI Capabilities & Services Strategy and Technical Architecture: Develop and execute the AI capabilities roadmap aligned to enterprise objectives.
• Establish reusable AI services, frameworks, reference architectures, and engineering standards.
• Drive technical decision‑making across AI platforms, models, agents, and infrastructure.
• Build and Lead AI Engineering Powerhouse: Lead and mentor teams of AI engineers, ML engineers, data scientists, and AI product specialists.
• Develop organizational capabilities across machine learning, GenAI, agentic AI, optimization, and digital twin technologies.
• Foster a culture of technical excellence, innovation, accountability, and continuous learning.
• Architect and Scale Agentic AI and GenAI Systems: Design enterprise‑grade AI agent architectures with orchestration, retrieval, tool use, memory, and human oversight.
• Define standards for prompt engineering, retrieval‑augmented generation (RAG), evaluation, safety, observability, and governance.
• Ensure solutions are scalable, reliable, secure, and cost‑effective.
• Review model architectures, data pipelines, feature engineering, training methodologies, and agent performance.
• Partner with engineering teams to improve accuracy, reliability, latency, cost efficiency, and user outcomes.
• Lead root‑cause analysis and continuous optimization of deployed AI systems.
• Deliver Production‑Grade AI Solutions: Translate business opportunities into scalable AI products and services.
• Embed AI capabilities into operational workflows, customer experiences, and decision‑making processes.
• Ensure solutions meet enterprise requirements for security, resilience, maintainability, and operational support.
• Establish AI Operations and Reliability Practices: Implement AI/MLOps, LLMOps, and AgentOps across the full lifecycle.
• Define standards for experimentation, deployment, monitoring, evaluation, incident management, and continuous improvement.
• Drive AI platform reliability, governance, and operational excellence.
• Manage AI Portfolio and Investment Priorities: Identify and evaluate new AI opportunities and emerging technologies.
• Prioritize investments based on business value, technical feasibility, scalability, and ROI.
• Make strategic trade‑offs regarding build‑versus‑buy decisions, technology selection, and resource allocation.
• Collaborate with technology, data, security, governance, and business stakeholders to accelerate delivery.
• Resolve dependencies, align priorities, and drive execution across complex enterprise environments.
• Communicate technical trade‑offs and recommendations to senior leadership.
• Champion Responsible AI and Engineering Governance: Ensure compliance with responsible AI principles, privacy requirements, security standards, and regulatory obligations.
• Establish governance frameworks, risk controls, and deployment readiness criteria.
• Promote sustainable engineering practices that balance innovation speed with long‑term platform health and maintainability.

Job description

Manpower is seeking a senior, hands‑on AI engineering leader to build and scale enterprise AI capabilities across a large organization in Singapore.

Reporting to executive leadership, this role owns the strategy, architecture, development, deployment, and continuous improvement of reusable AI services and platforms spanning AI/ML, GenAI, agentic AI, optimization, digital twins, IoT, and conversational analytics.