Principal AI Engineer
Posted:
Principal AI Engineer
About the Role
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.
Key Responsibilities
- Design and own the end-to-end AI architecture, including the AI Orchestration Layer and unified LLM Gateway.
- Embed AI seamlessly across key workflows to support the organization's AI Workforce Transformation.
- Elevate operational productivity through data-centric AI enablement and proprietary AI solutions.
- Champion compliance, security, and responsible AI with a human-first design approach.
- Uphold strict governance aligning with the “AI in the Loop / Human in the Loop” philosophy.
Qualifications
Education
- A Bachelor’s degree in Computer Science, Software Engineering or a related field is required.
- A Master’s degree in AI/ML or Data Science is an added advantage.
Experience
- 8+ years in software engineering or architecture, including at least 3–5 years designing AI, data or cloud architectures at scale.
- Proven experience leading the technical design of complex AI/ML platforms or data-driven products.
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