AI Engineer (Automation)

• 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.

• 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.

• 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 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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