Manager: AI Data Architecture

Recruiter:

A 1L Realization (Pty) Ltd

Job Ref:

JHB000977/Tshid

Date posted:

Monday, June 29, 2026

Location:

Johannesburg, South Africa

SUMMARY:
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 endâtoâend 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.

POSITION INFO:
Education:

Bachelor’s 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 enterpriseâgrade 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 endâtoâend 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 endâtoâend, enterpriseâscale AI solutions, integrating data, models, platforms, and business processes
Strong understanding of LLMs, AI agents, RetrievalâAugmented 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, semiâstructured, 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

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