Company Summary

A leading technology organisation is accelerating its enterprise-wide AI transformation, building scalable AI capabilities that can be adopted across multiple business functions. The organisation is investing across AI/ML, Generative AI, Agentic AI, optimisation, digital twins, IoT and conversational analytics.

This is a senior leadership role with responsibility for building and scaling a high-performing AI engineering organisation, while remaining hands-on in technical strategy, architecture and delivery.

Roles & Responsibilities

Define and execute the enterprise AI capabilities and services roadmap, aligned with business strategy and measurable outcomes.
Build reusable AI platforms, services, frameworks, reference architectures and engineering standards across AI/ML, GenAI and Agentic AI.
Lead and develop multidisciplinary teams spanning AI engineers, ML engineers, data scientists and applied AI specialists.
Architect and scale enterprise-grade GenAI and Agentic AI solutions, including orchestration, RAG, tool use, memory, evaluation, safety and human oversight.
Provide hands-on technical leadership across model architecture, data pipelines, training, feature engineering and AI/agent performance.
Drive the productionisation of AI solutions, ensuring scalability, reliability, security, cost efficiency and maintainability.
Establish AI/MLOps, LLMOps and AgentOps practices covering deployment, monitoring, evaluation, incident management and continuous improvement.
Identify and prioritise AI opportunities and investments, including technology selection, build-vs-buy decisions and resource allocation.
Partner with technology, data, security, governance and business stakeholders to drive enterprise-wide AI adoption and execution.
Establish responsible AI, governance, risk and deployment standards while balancing innovation with long-term platform health.

Requirements

Extensive leadership experience building and scaling enterprise AI capabilities, platforms or products.
Strong technical depth across multiple generations of AI, including traditional ML, deep learning, Generative AI, LLMs and Agentic AI.
Proven experience designing and deploying production-grade AI/ML and GenAI systems at enterprise scale.
Strong understanding of AI architecture, MLOps/LLMOps/AgentOps, model evaluation, observability, governance and responsible AI.
Experience leading multidisciplinary teams of AI/ML engineers, data scientists and applied AI specialists.
Ability to remain hands-on and provide technical direction on architecture, models, data, engineering practices and AI system performance.
Strong product and commercial mindset, with a track record of translating AI opportunities into measurable business outcomes.
Excellent stakeholder management and communication skills, with the ability to influence senior executives and navigate complex enterprise environments.
Experience with areas such as optimisation, digital twins, IoT or conversational AI would be advantageous.

If you're interested in the above role, click on the apply function now! Alternatively, you can contact Mon Fei at [HIDDEN TEXT] for a confidential discussion. Only shortlisted candidates will be notified.

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No. R1877534

Head of Artificial Intelligence