Automation AI Engineer/Associate (CON:AI)

Overview

Reference
CON:AI

Salary
ZAR/hour

Job Location
- South Africa -- Johannesburg Metro -- Johannesburg -- Rosebank

Job Type
Contract

Posted
03 March 2026

Closing date
31 Mar 2026 21:59


We pride ourselves on our culture that is made up of impeccably skilled, passionate professionals. Our team varies from veterans of the industry to fresh faced young bloods who are ready to shape the future.

If you believe that you’re a fit and feel as if Dotcom is an environment you can thrive in... then WE WANT YOU!

12 month fixed term contract

Hybrid working model - 2 days onsite Rosebank

Role Summary:

  • The Automation AI Engineer/Associate supports the shaping and prioritisation of AI use cases, converts those use cases into clear backlogs with clear success criteria and realistic tradeoffs, and introduces delivery transparency and accountability across the engineering function.
  • This is not a purely hands-on engineering role; it requires strong AI and AWS credibility, with selective hands-on involvement when teams need unblocking or critical technical guidance.( ops 60%; strategic 40%?)
  • This role also plays a key enablement function, helping engineers (including RPA and Java-heavy teams) transition into modern AI and cloud delivery ways of working through coaching, working examples, and repeatable engineering patterns.

Key Responsibilities:

1) AI Use Case Shaping (Technical Lens)

  • Support the identification and shaping of AI/automation use cases early, helping teams clarify scope, feasibility, dependencies, and “what good looks like”.
  • Partner with the Product Manager / Delivery Lead to provide a strong technical lens across prioritization, sequencing, and readiness.
  • Ensure use cases are framed in a way that can be built, validated, and operationalized.

Experience/Qualifications:

  • BSC Compute Science/ Engineering
  • ML Engineering/ MLOP/Data Science experience
  • DevOps
  • Design Skills
  • Architecture optional
  • Software Engineering Knowledge
  • CI/CD pipelines
  • ML Frameworks
  • Cloud Experience- AWS extensive experience and certification (Bedrock, Sagemaker, Agent Core)
  • Scrum/Agile
  • Dora Metrics
  • Principles and Best practices Information Security
  • Model Moderating/ Evaluating
  • Model Governance
  • Project Management


Contact information

Tina de Bruin