As an AI Engineer, this hands-on technical role builds, integrates, and ships the AI services that power the organization's multi-year AI Workforce Transformation. Working under the direction of the Senior Manager, AI Engineering and the Principal AI Engineers, the role implements components of the AI platform – from orchestration workflows to LLM Gateway integrations – embedding AI into key workflows.
The position requires solid software-engineering fundamentals and a working knowledge of modern AI/ML tools. It exists to turn architectural designs and standards into reliable, production-ready AI capabilities that elevate operational productivity and augment human work, leveraging unique datasets.
This is a role that requires the engineer to apply security, privacy, and responsible-AI controls in everyday delivery – in line with the "AI in the Loop / Human in the Loop" philosophy – escalating risks and ensuring AI is implemented safely, ethically, and effectively.
Education & Work Experience
Degree: A Bachelor’s degree in Computer Science, Software Engineering, or a related field (a Master’s degree in AI/ML or Data Science is a plus).
Experience: 2–4 years’ software-engineering experience, including hands-on exposure to AI/ML or data-intensive applications.
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