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Ai Automation Engineer

Job in Johannesburg, 2000, South Africa
Listing for: Ntt Data
Full Time position
Listed on 2026-09-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Job Description & How to Apply Below

Summary of role

We are building a 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 ability to build, test, deploy and maintain (solution and platform) the entire solution.

Responsibilities
  • 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
Use modern AI tooling:
  • Claude / Anthropic APIs
  • Java (spring AI)/Python orchestration
  • n8n (or equivalent workflow engines)
  • MCP or similar multi-agent coordination layers
Integrate internal and external systems via:
  • APIs
  • Data pipelines
  • 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:
  • Efficiency gains
  • Cost reduction
  • Risk outcomes
  • 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

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