FinSense Africa was founded in 2017 to solve a growing challenge in the financial sector; integrating legacy systems with modern technologies. We began by connecting critical systems through secure APIs and middleware solutions, helping institutions improve efficiency and reduce complexity. As client needs evolved, so did we, expanding into bespoke sol...

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.

• Driving the design and delivery of the AI platform that underpins the organization's multi-year AI Workforce Transformation.
• Owning 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.
• Elevating operational productivity through data-centric AI enablement.
• Leveraging unique datasets to build proprietary AI solutions that augment human capabilities.
• Championing 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.

• Deep expertise in modern AI/ML platforms
• Enterprise architecture
• AI Orchestration Layer design
• LLM Gateway design
• Data-centric AI enablement
• Proprietary AI solution development
• Compliance, security, and responsible AI implementation
• Governance and human-first design principles
• “AI in the Loop / Human in the Loop” philosophy

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