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This job has expired (closed 2026-03-04).
Jubilee Insurance Logo

AI ENGINEER – Platform

Jubilee Insurance
Nairobi
Full-time
Deadline: 2026-03-04

About Jubilee Insurance

was established in August 1937, as the first locally incorporated Insurance Company based in Mombasa. Jubilee Insurance has spread its sphere of influence throughout the region to become the largest Composite insurer in East Africa, handling Life, Pensions, Asset Management and Medical Insurance. Today, Jubilee is the number one insurer in East Africa with over 1.9 million clients. Jubilee Insurance has a network of offices in Kenya, Uganda, Tanzania, Burundi. It is the only ISO certified insurance group listed on the three East Africa stock exchanges – The Nairobi Securities Exchange (NSE), Dar es Salaam Stock Exchange and Uganda Securities Exchange. Its regional offices are highly rated on leadership, quality and risk management and have been awarded an AA- in Kenya and Uganda, and an A+ in Tanzania. For more information, visit www.JubileeInsurance.com

Description

The role holder is responsible for building, optimizing, and maintaining scalable AI infrastructure and systems that enable the efficient development, deployment, and operation of AI solutions across Jubilee, with a primary focus on Vertex AI Agent Builder. The role focuses on implementing end-to-end AI features, enhancing model performance, and managing distributed training and deployment environments, while ensuring seamless integration of AI models into production systems. Working within a fast-paced, product-driven environment, the role combines strong machine learning fundamentals with infrastructure expertise to deliver robust, high-performing AI capabilities that support business innovation and rapid delivery of AI-powered solutions.

Qualifications

1. Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related field.
2. Relevant certifications in Google Cloud Platform, AI, or Machine Learning are an added advantage.
3. Demonstrated portfolio of AI/ML projects (e.g., GitHub, research, or production systems) is
beneficial.
4. 2–3 years of experience in machine learning engineering or AI development.
5. Proven experience deploying ML models into production environments.
6. Hands-on experience with Google Cloud Platform and Vertex AI.
7. Experience with distributed training, TPU/GPU optimization, and LLM-based applications.
8. Experience working in agile, fast-paced environments such as startups or mid-sized technology
organizations is preferred.
9. Exposure to customer-facing AI products or production-grade systems is advantageous.

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