Manager AI Data Architecture

Our client in the Communications Technology is looking for a Manager: AI Data Architecture on a contract duration of 6 months.

The Manager: AI Architecture is responsible for designing governing and evolving the endtoend artificial intelligence architecture of the organization. The role ensures AI solutions are scalable secure ethical and aligned with business strategy while integrating seamlessly with existing data cloud and enterprise architectures.

Education:

• Bachelors degree in Computer Science Information Systems Data Management or related technical field
• Relevant certification/accreditation/membership with professional body as required

Experience:

• 5 years experience in AI data or solution architecture roles
• Proven experience delivering enterprisegrade AI solutions
• Experience working in large-scale enterprise or regulated environments
• Experience with cloud data platforms and big data ecosystems (Advantageous)
• Prior experience Financial Services preferred with experience within the banking/big data/ telecom industry and with Mobile Money being an added advantage
• Experience in Integration & Orchestration Functional Architecture Design Technical Solution Design
• Demonstrated ability to architect endtoend AI solutions with embedded Responsible AI principles including fairness explainability transparency privacy security and model governance as well as quality assurance and validation methodologies.
• Proven capability to work effectively with both structured and unstructured data across the full AI lifecycle.
• Worked across diverse cultures and geographies

Competencies:
Functional Knowledge:

• Strong AI Solution Architecture and ability to design endtoend enterprisescale AI solutions integrating data models platforms and business processes
• Strong understanding of LLMs AI agents RetrievalAugmented Generation (RAG) prompt design and orchestration patterns
• Responsible AI & Ethics with in-depth knowledge of fairness explainability bias mitigation transparency privacy security and regulatory compliance embedded throughout the AI lifecycle
• Expertise in model evaluation testing monitoring drift detection and performance validation in production environments
• MLOps / LLMOps - Practical experience with CI/CD for AI model deployment retraining observability and lifecycle management
• Strong capability to work with structured semistructured and unstructured data including feature engineering and data readiness for AI
• Ability to assess and manage model risk data risk and operational risk associated with AI solutions
• Cloud & Platform Expertise

Required Experience:

Manager

Employment Type : Contract
Experience: years
Vacancy: 1