From the employer's hiring system · Verified employer
Artificial Intelligence Lead
Standard Bank Group
Job at a glance
- Employer
- Standard Bank Group
- Position
- Artificial Intelligence Lead
- Location
- Nairobi, Kenya
- Job type
- Full-time
- Experience
- 8-10 years
- Education
- Bachelor's degree; Master's degree preferred
- Salary
- Not stated in the advert
- Application deadline
- Open until filled (listed until 15 November 2026)
- Posted on VacancyKE
- 29 October 2026
VacancyKE summary
Standard Bank Group is hiring an Artificial Intelligence Lead in Nairobi. You will provide executive leadership across AI strategy and governance while designing software solutions that improve delivery speed and reliability.
What stands out about this opportunity
- Executive leadership scope covering AI strategy and governance
- Requires blend of high-level strategy and practical coding/engineering
- Focus on Responsible AI and regulatory compliance
Key responsibilities
- Lead AI strategy, innovation, delivery, architecture, governance, and capability development
- Design, build, test, and maintain software solutions with AI-enabled implementation capabilities
- Support modern engineering practices including DevOps, Agile, CI/CD enablement, and workflow automation
- Integrate APIs and develop repeatable engineering assets within agreed standards and guardrails
- Deliver large-scale AI and Machine Learning programs from strategy through to production deployment
- Ensure adherence to AI governance, model risk, cybersecurity, and data governance frameworks
Who should apply?
This role suits a senior technology leader with 8-10 years' experience who combines strategic AI governance knowledge with strong hands-on software engineering skills in a regulated industry like banking.
Key requirements
- 8-10 years relevant experience
- Bachelor's degree in CS/AI/Data Science
- Large-scale AI/ML program delivery
- AI governance and model risk knowledge
- Generative AI and MLOps expertise
- Regulated industry background
Nice to have
- Professional certifications in AI, Machine Learning, Cloud Platforms, Data Science, Responsible AI, or Enterprise Architecture
What you should know
- The role requires deep expertise in both strategic leadership and hands-on software engineering
- Applications are submitted via the SmartRecruiters portal for Standard Bank Group
How to apply
- Apply online at https://jobs.smartrecruiters.com/StandardBankGroup/744000158445389-artificial-intelligence-lead
Official source: From the employer's hiring system · jobs.smartrecruiters.com. VacancyKE never charges job seekers.
Original employer advertisement
Published by Standard Bank Group on jobs.smartrecruiters.com. Shown for reference; the employer’s version is the official one.
The employer’s advert
Design, build, test and maintain software solutions while contributing AI-enabled implementation capabilities that improve delivery speed, quality and operational reliability. The role supports modern engineering practices through software development, automated testing, CI/CD enablement, workflow automation, API integration, AI-assisted implementation patterns and repeatable engineering assets, while operating within agreed engineering standards, architectural guardrails and documentation requirements.
The role will provide executive leadership across AI strategy, innovation, delivery, architecture, engineering standards, governance, data enablement, adoption, benefits realisation and capability development
Type of Qualification: First Degree
Field of Study: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, Mathematics, Information Technology or a related field.
Master's degree in Artificial Intelligence, Data Science, Computer Science, Business Administration, Analytics or a related discipline.
Professional certifications in Artificial Intelligence, Machine Learning, Cloud Platforms, Data Science, Responsible AI or Enterprise Architecture will be an added advantage
Experience Required
8-10 years
• Proven experience in modern engineering practices (e.g., DevOps, Agile) across multiple engineering disciplines, with depth in at least one area.
• Proven 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.
• Broad experience in translating business and functional requirements into technical specifications and developing the programming code to create the solutions.
Behavioural Competencies:
• Articulating Information
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data
• Producing Output
• Taking Action
• Team Working
Technical Competencies:
• 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
Our culture is defined by the values that guide every interaction, decision, and outcome:
• Deeply Committed – We deliver with purpose, accountability, and a focus on excellence.
• Boldly Pioneering – We embrace innovation, challenge conventional thinking, and drive meaningful change.
• Trusted Stewards – We act responsibly, safeguarding the interests of our clients, colleagues, and communities.
• Guided by Empathy – We value diverse perspectives and foster meaningful relationships through understanding and respect.
• Unfailingly Honourable – We uphold the highest standards of integrity, fairness, and ethical conduct.
The role will provide executive leadership across AI strategy, innovation, delivery, architecture, engineering standards, governance, data enablement, adoption, benefits realisation and capability development
Type of Qualification: First Degree
Field of Study: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, Mathematics, Information Technology or a related field.
Master's degree in Artificial Intelligence, Data Science, Computer Science, Business Administration, Analytics or a related discipline.
Professional certifications in Artificial Intelligence, Machine Learning, Cloud Platforms, Data Science, Responsible AI or Enterprise Architecture will be an added advantage
Experience Required
8-10 years
• Proven experience in modern engineering practices (e.g., DevOps, Agile) across multiple engineering disciplines, with depth in at least one area.
• Proven 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.
• Broad experience in translating business and functional requirements into technical specifications and developing the programming code to create the solutions.
Behavioural Competencies:
• Articulating Information
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data
• Producing Output
• Taking Action
• Team Working
Technical Competencies:
• 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
Our culture is defined by the values that guide every interaction, decision, and outcome:
• Deeply Committed – We deliver with purpose, accountability, and a focus on excellence.
• Boldly Pioneering – We embrace innovation, challenge conventional thinking, and drive meaningful change.
• Trusted Stewards – We act responsibly, safeguarding the interests of our clients, colleagues, and communities.
• Guided by Empathy – We value diverse perspectives and foster meaningful relationships through understanding and respect.
• Unfailingly Honourable – We uphold the highest standards of integrity, fairness, and ethical conduct.