Senior Manager, AI Engineering
About the Role
This position provides enterprise-wide architectural and people leadership for the AI platform and the multi-year AI Workforce Transformation. As the Senior Manager, AI Engineering, you will own the end-to-end AI architecture from the AI Orchestration Layer to a unified LLM Gateway. You will set the organisation-wide AI architecture strategy, standards, and governance, and lead the AI Engineering team — including Principal AI Engineers, AI Engineers, and the AI Adoption & Enablement Lead.
The role requires authoritative expertise in modern AI/ML platforms and enterprise architecture, operating at a principal level. Your mission is to elevate operational productivity through data-centric AI enablement at scale, leveraging unique datasets to build proprietary AI solutions that augment human capabilities across every domain.
Key Responsibilities
- Define and drive the enterprise-wide AI architecture strategy, standards, and governance.
- Lead, mentor, and grow the AI Engineering team to deliver high-impact AI solutions.
- Architect and own the end-to-end AI platform, including the AI Orchestration Layer and unified LLM Gateway.
- Drive the multi-year AI Workforce Transformation initiative to scale AI adoption across the organisation.
- Collaborate cross-functionally to build proprietary AI solutions that leverage unique datasets and augment human capabilities.
- Ensure operational productivity improvements through data-centric AI enablement.
Qualifications & Experience
Education
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- A Master’s degree in AI/ML or Data Science is strongly preferred.
Experience
- 12+ years in software engineering or architecture, including at least 6 years designing and leading AI, data, or cloud architectures at scale.
- Demonstrable enterprise or transformation leadership, with significant people management experience.
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