Principal AI Engineer

As the Principal AI Engineer, this role is a senior technical leader driving the design and delivery of the AI platform that underpins the organization's multi-year AI Workforce Transformation. The role owns the end-to-end AI architecture – from the AI Orchestration Layer to a unified LLM Gateway – ensuring the platform seamlessly embeds AI across key workflows. The position requires deep expertise in modern AI/ML platforms and enterprise architecture, operating at a senior level as an individual contributor. It exists to elevate operational productivity through data-centric AI enablement, leveraging unique datasets to build proprietary AI solutions that augment human capabilities. This is a role that requires the ability to champion compliance, security and responsible AI – upholding strict governance and human-first design in line with “AI in the Loop / Human in the Loop” philosophy – ensuring AI technologies are implemented safely, ethically and effectively to drive a human-led, AI-augmented organization.

Education & Experience

A Bachelor’s degree in Computer Science, Software Engineering or related field (a Master’s degree in AI/ML or Data Science is an added advantage), with 8+ years in software engineering or architecture – including at least 3–5 years designing AI, data or cloud architectures at scale and leading the technical design of complex AI/ML platforms or datadriven products.