AI Engineer at Absa Group Limited (Absa)

Job Summary

• Apply critical thinking & problem solving skills to contribute to all phases of the development lifecycle & quickly produce well-organised, optimized, and documented source code to deliver high-performing, scalable, enterprise-grade applications.

Job Description

• Apply critical thinking, design thinking and problem-solving skills in an agile team environment to solve technical problems (Front End, Back End OR Middleware) with high quality solutions. 
• Contribute to all phases of the development lifecycle including 
• Evaluate analysis, problem definition, business requirements, solution development & provide recommendations to enable the operational feasibility of solutions 
• Quickly produce well-organised, optimized, and documented source code to deliver technical solutions 
• Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience 
• Apply general design patterns and paradigms to deliver technical solutions 
• Support the development of CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins / similar tools and deploying to multi-site Kubernetes environments – supporting and managing your applications all the way to production) 
• Use & configure modern observability techniques leveraging e.g. aggregated logging via ELK stack, metrics via 
• Prometheus / Grafana / NewRElic and tracing using Zipkin/Jaeger 
• Automate tasks through appropriate tools and scripting e.g., Jenkins, Docker, Ansible, Kubernetes, and Python-based AI workflows. 
• Debug existing source code and AI models, refine feature sets, and optimize algorithms for performance and scalability. 
• Work with integrated teams and other developers to improve and evolve technical products and services 
• Align all application and AI/ML development & processes to Group Architecture & Infrastructure guidelines. 
• Provide input into project & program teams (when required) to plan & manage the development lifecycle e.g. releases, risk management, testing, integration etc. 
• Conduct reviews, performance monitoring & ongoing optimization and maintenance on applications and AI/ML models. 
• Stay ahead of the curve on emerging technologies and development practices and continuously evolve existing knowledge & skill in preparation for cross domain and other experiences e.g. Secure Side, Testing, Infrastructure solutions etc.

People 

• Conduct peer reviews, testing, problem solving within and across the broader team 
• Support the people change teams in the development of user material (Customer, Employee & 3rd Party Adoption) 

Risk & Governance 

• Identify technical risks and mitigate these (pre, during & post release) 
• Update / Design all application documentation aligned to the organization technical standards and risk / governance frameworks 
• Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents 

Additional Job Description 

• Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and Absa Policies and Policy Standards. 
• Understand and manage risks and risk events (incidents) relevant to the role. 

​​​​​​​Education

• Bachelor's Degree: Information Technology

End Date: November 7, 2025