Senior Manager, AI Engineering

Company Details
Industry: Telecommunications
Description: 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 clien… 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 solutions, expert resourcing, DevOps, and Agile coaching to strengthen delivery capability. Today, FinSense partners with leading banks and enterprises across Africa to simplify transformation, modernize operations, and turn technology into measurable business value. View more View less
Job Details
Job Type: Full Time
Workplace Type: On-site
Qualification: Diploma
Job Experience: Mandatory
Job Location: Nairobi County, Kenya
Closing Date: Undisclosed
Salary: KES Unspecified / month
Other Pay: Benefits
Job Category: Telecommunications
Job Description

Senior Manager, AI Engineering

About the Role

This position provides enterprise-wide architectural and people leadership for the AI platform and the multi-year AI Workforce Transformation. As the Senior Manager, AI Engineering, you will own the end-to-end AI architecture from the AI Orchestration Layer to a unified LLM Gateway. You will set the organisation-wide AI architecture strategy, standards, and governance, and lead the AI Engineering team — including Principal AI Engineers, AI Engineers, and the AI Adoption & Enablement Lead.

The role requires authoritative expertise in modern AI/ML platforms and enterprise architecture, operating at a principal level. Your mission is to elevate operational productivity through data-centric AI enablement at scale, leveraging unique datasets to build proprietary AI solutions that augment human capabilities across every domain.

Key Responsibilities

  • Define and drive the enterprise-wide AI architecture strategy, standards, and governance.
  • Lead, mentor, and grow the AI Engineering team to deliver high-impact AI solutions.
  • Architect and own the end-to-end AI platform, including the AI Orchestration Layer and unified LLM Gateway.
  • Drive the multi-year AI Workforce Transformation initiative to scale AI adoption across the organisation.
  • Collaborate cross-functionally to build proprietary AI solutions that leverage unique datasets and augment human capabilities.
  • Ensure operational productivity improvements through data-centric AI enablement.

Qualifications & Experience

Education

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • A Master’s degree in AI/ML or Data Science is strongly preferred.

Experience

  • 12+ years in software engineering or architecture, including at least 6 years designing and leading AI, data, or cloud architectures at scale.
  • Demonstrable enterprise or transformation leadership, with significant people management experience.
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