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AI Engineering Master Specialist


Job Location:

Johannesburg - South Africa

Monthly Salary: Not provided by the employer
Posted: 26 July 2026 (30+ days ago)
Application Deadline: 23 October 2026
Vacancies: 1 Vacancy

Job Summary

Job Purpose

We are seeking a Senior AI engineering specialist with deep expertise in designing and scaling hyperscale cloud systems and advanced AI platforms. This role requires a strong foundation in distributed systems machine learning statistics and big data ecosystems combined with hands-on experience across modern AI frameworks and programming languages.

The successful candidate will play a critical role in architecting deploying and optimising AI systems powered by both small language models (SLMs) and large language models (LLMs) ensuring the right models and infrastructure are applied to each use case for optimal performance scalability and cost efficiency.

Job Responsibilities
  • Design and implement scalable AI systems leveraging SLMs and LLMs embedding responsible AI.
  • Select appropriate models based on use case performance and cost constraints optimising value versus investment (FinOps for AI).
  • Develop end-to-end architectures from data ingestion through to inference and monitoring.
  • Architect solutions across cloud and on-premise environments using Kubernetes and modern cloud platforms.
  • Optimise compute utilisation across CPU and GPU environments including CUDA-based acceleration.
  • Build and integrate pipelines using Apache Spark Databricks Kafka PrestoDB and Hadoop ecosystem tools.
  • Enable secure governed and scalable access to enterprise data.
  • Oversee model lifecycle management including deployment and monitoring.
  • Act as a subject matter expert and guide stakeholders on AI capabilities and opportunities.
Critical Skills
  • Strong experience in distributed systems and hyperscale architectures.
  • Deep knowledge of machine learning statistics and AI system design.
  • Proficiency in Python C Java Go Rust (R advantageous).
  • Experience with GPU computing and CUDA optimisation.
  • Hands-on experience with LLMs/SLMs and AI frameworks.
  • Expertise in Kubernetes and cloud-native architectures.
  • Experience with big data platforms such as Spark Databricks Kafka PrestoDB Hadoop.
  • Strong communication skills and ability to translate technical concepts to business value
Preferred Qualification

Honours or Masters Degree (or higher) in either Information Systems or Computer Science

Preferred Certifications

TOGAF Certification Information Technology Architect Certification (ITAC) (Open Group)

Minimum Experience Level

5 Years experience in developing strategic IT plans/roadmaps and
10 Years in System design and development

Technical / Professional Knowledge
  • IT Infrastructure Architecture
  • TOGAF
  • System Development Life cycle(SDLC)
  • Computer Hardware & Software
  • Operational frameworks (ITIL)
  • Knowledge of the broader IT domain and tactical IT requirements
  • Specific technology of relevant to domain
Behavioural Competencies
  • Global Perspective
  • Strategic Planning
  • Decision Making
  • Customer Focus
  • Adaptability
  • Continuous Learning

Please contact the Nedbank Recruiting Team at


Required Experience:

IC


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