Artificial Intelligence Lead

About the role

Standard Bank is hiring an Artificial Intelligence Lead for a full-time management role in Nairobi, advertised by Corporate Staffing Services. The role drives AI, data science and analytics strategies and provides executive leadership across AI strategy, innovation, delivery, architecture, engineering standards, governance, data enablement, adoption, benefits realisation and capability development.

Key responsibilities

• Design, build, test and maintain software solutions while contributing AI-enabled implementation capabilities that improve delivery speed, quality and operational reliability.
• Support modern engineering practices through software development, automated testing, CI/CD enablement, workflow automation, API integration, AI-assisted implementation patterns and repeatable engineering assets.
• Operate within agreed engineering standards, architectural guardrails and documentation requirements.

Required profile

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, Mathematics, Information Technology or a related field; a Master's degree in AI, Data Science, Computer Science, Business Administration, Analytics or a related discipline is preferred.
• 8-10 years of experience, including proven experience in modern engineering practices such as DevOps and Agile across multiple disciplines, with depth in at least one.
• Track record delivering large-scale AI and machine learning programs from strategy and design through production deployment, adoption and measurable business impact.
• Demonstrated knowledge of AI governance, model risk, cybersecurity, data governance, cloud AI platforms and emerging AI regulation.
• Experience in banking, financial services, fintech, telecommunications, consulting or another highly regulated industry.
• Ability to translate business and functional requirements into technical specifications and develop the programming code for the solutions.

Required skills

• Generative AI, agentic AI and machine learning
• AI architecture, MLOps and LLMOps
• Responsible AI and model risk management
• Cloud AI platforms and reusable AI services
• Data governance, security and regulatory compliance
• Production monitoring and cost optimisation

Professional certifications in AI, machine learning, cloud platforms, data science, responsible AI or enterprise architecture are an added advantage. The application deadline is 10 November 2026.