AI Payments Automation Engineer

Indsafri

South Africa

On-site

ZAR 900,000 - 1,200,000

Full time

9 days ago

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Job summary

Indsafri is seeking an AI Automation Engineer to join its AI Payments Engineering Team. You will design and deliver AI-native automation for critical payments processes, focusing on reconciliations, audits, and incident automation, while ensuring compliance and auditable governance.

Role requires expertise in LLM orchestration, multi-agent systems, and production-grade workflows using n8n, MCP, and Claude/Anthropic APIs.

Qualifications

Experience with LLM orchestration in high-stakes environments.
Knowledge of AI failure modes in critical systems.
Proficiency with Spring AI and Python orchestration.
Experience with workflow engines such as n8n.
Familiarity with AI APIs like Claude/Anthropic.
Ability to deliver full lifecycle: discovery → design → build → deploy → optimize.
Strong architectural thinking for scalable platforms.
Ability to operate in fast-paced, ambiguous environments.
Strong ownership mindset with a bias for execution.
Bridge business and engineering domains.

Responsibilities

Design and deploy production-grade AI automation workflows for critical payments processes including Reconciliations, Audit & reporting preparation, and Financial analytics.
Utilize modern AI tooling such as Claude/Anthropic APIs, Java (Spring AI)/Python for orchestration, n8n (or equivalent workflow engines), and MCP or similar multi-agent coordination layers.
Integrate internal and external systems through APIs, data pipelines, and reporting systems.
Identify and implement automation opportunities across Payments operations to reduce manual effort.
Maintain human oversight and approval controls where necessary to ensure accuracy and compliance.
Ensure all workflows are production-ready, auditable, and compliant with regulatory requirements.
Implement AI Governance & Risk Management principles, including classifying automation by risk tier and ensuring solutions include named process owners, documented data flows, access controls, and full audit logging.
Design automation solutions that preserve control integrity in regulated environments.
Develop reusable frameworks, templates, and workflows, along with documentation and standards, to facilitate scalable adoption.
Build dashboards and metrics to track efficiency gains, cost reductions, risk outcomes, and ROI.
Train Payments teams on the effective use of AI-enabled workflows and tools.