AI Automation Engineer

AI Automation Engineer

Johannesburg, South Africa | Posted on 09/11/2026

We are building an next-generation AI Payments Engineering Team to design and deliver an AI-native Payments Operating System.

This team will combine AI engineering, payments domain expertise, and production automation to transform high-effort, high-risk financial operations into scalable, intelligent, and auditable systems.

The team will focus on automating critical Payments processes such as Least cost routing, reconciliations, audit, Incident automation, etc.

The mission is to deliver efficiency with control integrity—not just automation speed. This team should have the ability to build, test, deploy, and maintain (solution and platform) the entire solution.

Design and deploy production-grade AI automation workflows that drive immediate operational impact.

• Build and deploy agentic workflows for:
  • Reconciliations
  • Audit & reporting preparation
  • Financial analytics
  • Claude / Anthropic APIs
  • MCP or similar multi-agent coordination layers
• Integrate internal and external systems via:
  • APIs
  • Reporting systems
• Reduce manual effort by identifying automation opportunities across Payments operations
• Maintain human oversight and approval controls where required
• Ensure all workflows are production-ready, auditable, and compliant

• Classify all automation by risk tier before development
• Ensure each solution includes:
  • Named Process Owner
  • Documented data flows
  • Access controls
  • Full audit logging
• Design automation that preserves control integrity in regulated environments

• Develop reusable frameworks, templates, and workflows
• Create documentation and standards to scale adoption
• Build dashboards and metrics to measure:
  • Cost reduction
  • ROI
• Train Payments teams on AI-enabled workflows and tools

• Work closely with:
  • Payments Backend teams
  • Infrastructure & platform teams
  • Compliance & audit teams
  • AI Center of Excellence
• Translate business and finance requirements into technical solutions and roadmaps
• Communicate effectively with technical and non-technical stakeholders

• Hands-on experience deploying production-grade AI/agentic systems
• Strong understanding of:
  • LLM orchestration
  • Multi-agent systems
  • AI failure modes in high-stakes environments
• Proficiency in:
  • Spring AI/Python-based orchestration
  • Workflow engines (n8n or equivalent)

Strong architectural thinking for scalable, future-ready platforms.

• Operates effectively in fast-paced, ambiguous environments
• Strong ownership mindset with a bias for execution