AI Engineer (Automation)

Reference: PR000895-RN-1

Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients. Our client, a leading organisation within the financial services sector, is looking for an experienced AI Engineer (Automation) to join their next-generation Payments Engineering team based in  Sandton  for a  12-month contract  role.

We are looking for an AI Automation Engineer who can design, build, deploy and maintain production-grade AI and agentic automation solutions within a regulated financial environment. The ideal candidate will combine hands-on AI engineering experience with strong systems and architectural thinking, particularly around LLM orchestration, workflow automation, integrations and multi-agent solutions. The successful candidate will work across the full solution lifecycle, from discovery and design through to build, deployment and optimisation. You will help transform high-effort Payments operations such as reconciliations, audit preparation, financial analytics, incident automation and least-cost routing into scalable, intelligent and auditable workflows, while ensuring appropriate human oversight and control integrity. Duties & Responsibilities

What you will be doing

• Design, build and deploy production-grade AI and agentic automation workflows for Payments operations.

• Develop AI-enabled solutions for reconciliations, audit and reporting preparation, financial analytics and other high-effort operational processes.

• Build LLM-powered workflows using technologies such as Claude/Anthropic APIs, Spring AI, Python and n8n or equivalent workflow orchestration platforms.

• Design and implement multi-agent solutions using MCP or similar multi-agent coordination frameworks.

• Integrate internal and external systems using APIs, data pipelines and reporting platforms.

• Identify automation opportunities across Payments operations and translate them into scalable technical solutions.

• Deliver solutions across the full lifecycle, including discovery, design, development, deployment, monitoring and optimisation.

• Ensure human oversight, approval controls and appropriate intervention points are incorporated into high-risk or sensitive workflows.

• Ensure AI automation solutions are production-ready, auditable, reliable and compliant with organisational requirements.

• Classify automation initiatives according to appropriate risk tiers before development.

• Ensure solutions have clearly defined process ownership, documented data flows, appropriate access controls and comprehensive audit logging.

• Design automation solutions that preserve control integrity within regulated financial environments.

• Develop reusable AI automation frameworks, templates, components and workflows to support broader adoption.

• Establish documentation, technical standards and best practices for AI-enabled automation.

• Build dashboards and metrics to measure efficiency improvements, cost reduction, risk outcomes and return on investment.

• Support and train Payments teams in the adoption of AI-enabled workflows, tools and automation capabilities.

• Work closely with Payments Backend, Infrastructure and Platform, Compliance and Audit teams, as well as the AI Centre of Excellence.

• Translate business, operational and finance requirements into technical solutions, architectures and implementation roadmaps.

• Communicate technical concepts, risks and solution outcomes effectively to both technical and non-technical stakeholders.

• Take ownership of production solutions and continuously identify opportunities to improve their performance, reliability, scalability and business value.

What we are looking for

• Relevant IT, Computer Science, Engineering or equivalent qualification.

• Hands-on experience designing and deploying production-grade AI and/or agentic systems .

• Strong practical understanding of LLM orchestration and AI-powered workflow automation.

• Experience with multi-agent systems and agent coordination frameworks.

• Strong understanding of AI failure modes, particularly within high-stakes or regulated environments.

• Hands-on experience with Spring AI and/or Python-based AI orchestration .

• Experience using n8n or equivalent workflow automation/orchestration platforms .

• Experience integrating AI APIs , such as Anthropic/Claude or equivalent LLM platforms.

• Strong API and systems integration experience.

• Experience delivering solutions across the full lifecycle from discovery and design through to deployment and optimisation.

• Strong architectural and systems-thinking capabilities, with the ability to design scalable and future-ready solutions.

• Understanding of AI governance, risk classification, access controls, audit logging and data-flow documentation.

• Ability to balance automation efficiency with appropriate human oversight and control integrity.

• Strong problem-solving and analytical skills.

• Ability to operate effectively in fast-paced and ambiguous environments.

• Strong ownership mindset with a bias towards execution.

• Excellent communication and stakeholder engagement skills.

• Ability to bridge business, finance and engineering requirements and translate them into practical technical solutions.

Beneficial

• Experience within Payments, banking or other regulated financial-services environments.

• Experience automating reconciliations, audit processes, financial reporting or financial analytics.

• Experience with incident automation or least-cost routing.

• Experience with MCP or similar multi-agent coordination technologies.

• Experience establishing AI automation standards, reusable frameworks and governance practices.

• Experience building operational dashboards and measuring automation ROI.

• Experience working closely with Compliance, Audit and AI Centres of Excellence.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

Please note that most of our positions are remote; however, candidates should reside within travelling distance of the client site, as the working arrangements may change depending on business requirements.

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