AI Automation Engineer

CyberPro Consulting (Pty) Ltd; Johannesburg; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

CyberPro Consulting (Pty) Ltd in Johannesburg, South Africa, is hiring an AI Automation Engineer to design and deploy production-grade AI automation workflows for payments operations. You will work on end-to-end automation across reconciliations, analytics, and reporting, leveraging Claude/Anthropic APIs and multi-agent coordination layers.

The role requires hands-on experience with AI systems, LLM orchestration, and secure, auditable governance.

Qualifications

• Hands-on experience deploying production-grade AI/agentic systems.
• Strong understanding of LLM orchestration and multi-agent architectures.
• Experience with AI failure modes in high-stakes environments.
• Proficiency in Spring AI and Python-based orchestration.
• Familiarity with workflow engines like n8n.

Responsibilities

• 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 and 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.

Skills

AI/agentic systems

LLM orchestration

Multi-agent systems

Python

Spring

Workflow engines

n8n

APIs

Tools

n8n

APIs

Job description

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.

Requirements

Core Focus

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

Key Responsibilities

• 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

AI Governance & Risk Management

• 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

Platform & Capability Building

• 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

Collaboration & Stakeholder Engagement

• 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

Technical Expertise

• 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)

Systems & Architecture Thinking

Strong architectural thinking for scalable, future-ready platforms.

Ways of Working

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