Ajira Zone

Find your dream job with thousands of opportunities from top companies. Join our community of professionals and take the next step in your career.

Quick Links

Browse Jobs Companies About Us Contact

Get in Touch

Ready to post a job or need help finding talent?

Post a Job

Instagram LinkedIn

Principal AI Engineer at FinSense Africa | Ajira Zone

Back to Jobs

FinSense Africa

Principal AI Engineer

Nairobi

Posted 18 July, 2026

Deadline 01 August, 2026

Information TechnologyFull-TimeSenior-level(6+ yrs)

Job Description

As the Principal AI Engineer, you will serve as 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 the "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

Drive the design and delivery of the AI platform for the multi-year AI Workforce Transformation.
Own the end-to-end AI architecture, from the AI Orchestration Layer to a unified LLM Gateway.
Ensure the platform seamlessly embeds AI across key enterprise workflows.
Elevate operational productivity through data-centric AI enablement.
Leverage unique datasets to build proprietary AI solutions that augment human capabilities.
Champion compliance, security, and responsible AI, upholding strict governance and human-first design.

Requirements and Qualifications

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