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This job has expired (closed 2026-03-11).
Jubilee Insurance Logo

AI ENGINEER II (SOLUTIONS ENGINEER)

Jubilee Insurance
Nairobi
Full-time
Deadline: 2026-03-11

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 AI Engineer II (Solutions Engineer) is a senior-level technical role responsible for leading the design, development, and deployment of AI-powered solutions that address business challenges and enhance Jubilee’s digital platforms. This role combines deep machine learning expertise with strong fullstack engineering capabilities to deliver end-to-end AI features, integrate AI models into production systems, and ensure business-aligned outcomes. The incumbent provides technical leadership, mentors junior engineers, and makes strategic architectural decisions to ensure scalable, reliable, and high-impact AI solutions.

Qualifications

1. Bachelor’s degree in Computer Science, Software Engineering, AI, Machine Learning, or related
field (required).
2. Master’s degree or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or related
field (strongly preferred)
3. Relevant AI/ML, cloud, or fullstack certifications are a plus.
4. 4–7 years in AI/ML engineering or software engineering roles, with at least 2 years in a senior or
lead capacity.
5. Proven track record delivering production AI solutions end-to-end.
6. Experience leading cross-functional technical projects and mentoring engineers.
7. Hands-on experience with LLM-based solutions and modern AI frameworks.
8. Background in integrating AI into customer-facing or operational products.
9. Experience in agile, product-driven environments with iterative delivery cycles

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