Senior Manager - Artificial Intelligence Platform Architecture at MTN

Responsibilities

Key Activities & Responsibilities

• Responsible for architecting scalable, high-performance AI platforms tailored to meet the unique requirements of MTN applications, such as customer service automation, predictive maintenance, network optimization, and fraud detection in alignment with business objectives
• Oversee the design & integration of AI systems with MTN network infrastructures (5G, IoT, etc.) optimizing performance for real-time, large-scale data processing while maintaining reliability and scalability across dynamic telecom environments
• Spearhead the adoption of cloud-native architectures and oversee the seamless deployment of AI models across both private and public cloud environments ensuring optimal performance and scalability across AI systems
• Collaborate with data scientists, network engineers, and software developers to ensure seamless integration of AI capabilities into core services and system
• Provide strategic guidance in defining and implementing best practices for AI model versioning, governance, and monitoring ensuring that AI models adhere to operational standards
• Work closely with the Infosec teams to ensure that all AI solutions comply with strict data protection laws (as applicable) and telecom industry regulations, safeguarding data privacy and security across all platforms
• Partner with AI Legal & Regulatory teams to implement state-of-the-art security protocols in AI platforms, including identity management, encryption, and anomaly detection to safeguard sensitive customer and network data
• Monitor platform resource usage, propose cost-saving initiatives, and drive optimization for AI workloads in cloud environments. Provide regular status updates and reports to key stakeholders to keep them informed of progress and outcomes
• Continuously evaluate and improve AI system performance, addressing latency, processing time, and system stability to optimize services and ensuring the AI systems deliver maximum efficiency and value across the organization
• Serve as a key technical advisor to the GM: AI COE Lead and other senior stakeholders in defining the organization’s AI vision and aligning the platform strategy with broader business goals
• Collaborate with stakeholders to identify new opportunities for AI integration, uncover potential use cases, and design innovative AI-driven solutions that enhance operational efficiency, improve customer experiences, and support the company’s strategic objectives
• Identify, assess, and mitigate risks related to the deployment and operation of AI models in telecom environments. Ensure AI platforms follow industry-standard governance and compliance frameworks while also adhering to telecom-specific regulations and guidelines

Qualifications

Education:

• Bachelor’s degree in Computer Science, Data Science, Information Technology or a related field
• Relevant certifications in data engineering or AI/cloud platforms (preferred) 

Experience:

• 8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environments
• Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments
• Hands on experience in AI platform development, API management, or MLOps practice
• Experience of working in a dynamic, fast-paced environment 

​​​​​​​Skills:

• Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)
• Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutions
• Experience in containerization and orchestration tools (e.g.: Docker, Kubernetes) for AI deployment
• Strong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize them
• In-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management