Description
The Head, Artificial Intelligence will lead the technical direction, AI strategy, and research agenda for the AI Scaling Hub and in alignment with Rwanda's national AI priorities, ensuring world-class standards of innovation, safety, and impact.

Key Responsibilities

• Serve as the primary technical point of contact for government, funders, and external collaborators, ensuring solutions meet ethical, inclusive, and safety standards.
• Collaborate with program managers and technical implementation partners to validate the technical readiness, performance, and robustness of AI products across use cases.
• Set the technical architecture and MLOps strategy for scalable, secure, and maintainable AI deployments across use cases.
• Work with product owners and implementation partners to adapt solutions to real-world contexts.
• Implement and champion MLOps practices for continuous integration, monitoring, and model versioning.
• Advise the MINICT on AI infrastructure and policy to support the success of the Hub and Rwanda's national AI priorities
• Provide technical leadership for C4IRs broader AI project portfolio and represent C4IR in global AI innovation and governance fora.

Key Qualifications and Experience

• Extensive experience: Minimum of 8 years of proven experience in Artificial Intelligence (AI) applications, with a deep technical understanding of AI/ML systems, architectures, and deployment models.
• Applied innovation: Demonstrated ability to evaluate, design, and deploy AI solutions for feasibility, scalability, and impact particularly in low-resource or data-constrained environments.
• Cross-sector expertise: Strong grasp of sectoral applications of AI and its intersection with the broader digital economy and society, including health, agriculture, education, and public service delivery.
• Ethical leadership: In-depth knowledge of AI ethics, safety, governance, and regulatory frameworks, and commitment to responsible, human-centered AI.
• Strategic communication: Exceptional analytical, communication, and stakeholder engagement skills, with the ability to translate complex technical concepts into actionable insights for diverse audiences.
• Local knowledge with global perspective: Experience working in mature and emerging AI ecosystems, with an understanding of contextual challenges and opportunities for the Rwandan ecosystem.

Our Values

1. Responsible impact: We take initiative aligned with institutional and personal goals. We solve problems with practicality, efficiency, and rigor. We create opportunities that broaden and maximize impact for our stakeholders.
2. Technical excellence: We think and act innovatively
   We contribute expertise valued by others.
3. Principled collaboration: We believe in empathy and empowerment of self, colleagues and external stakeholders. We establish trust-based relationships and collaborate effectively with internal and external stakeholders.
4. Effective communication: We engage and communicate effectively with all audiences.

• Serve as the primary technical point of contact for government, funders, and external collaborators, ensuring solutions meet ethical, inclusive, and safety standards.
• Collaborate with program managers and technical implementation partners to validate the technical readiness, performance, and robustness of AI products across use cases.
• Set the technical architecture and MLOps strategy for scalable, secure, and maintainable AI deployments across use cases.
• Work with product owners and implementation partners to adapt solutions to real-world contexts.
• Implement and champion MLOps practices for continuous integration, monitoring, and model versioning.
• Advise the MINICT on AI infrastructure and policy to support the success of the Hub and Rwanda’s national AI priorities
• Provide technical leadership for C4IRs broader AI project portfolio and represent C4IR in global AI innovation and governance fora.

• Deep technical understanding of AI/ML systems, architectures, and deployment models.
• Ability to evaluate, design, and deploy AI solutions for feasibility, scalability, and impact.
• Strong grasp of sectoral applications of AI and its intersection with the broader digital economy and society.
• In-depth knowledge of AI ethics, safety, governance, and regulatory frameworks.
• Exceptional analytical, communication, and stakeholder engagement skills.
• Experience working in mature and emerging AI ecosystems.

• Minimum of 8 years of proven experience in Artificial Intelligence (AI) applications.
• Demonstrated ability to evaluate, design, and deploy AI solutions for feasibility, scalability, and impact.
• Strong grasp of sectoral applications of AI and its intersection with the broader digital economy and society.
• In-depth knowledge of AI ethics, safety, governance, and regulatory frameworks.
• Exceptional analytical, communication, and stakeholder engagement skills.
• Experience working in mature and emerging AI ecosystems.