We’re looking for a Senior AI Workflow Engineer to join our ever evolving Risk & Compliance team and help shape the future of global commerce.
Responsibilities
- Workflow Architecture (Design Authority)
- Decompose complex processes into AI-first workflows
- Design human–agent interaction models, decision logic, and escalation paths
- Translate regulatory, operational, and risk requirements into build‑ready specifications
- Produce and maintain workflow artefacts (process maps, agent interaction models, blueprints)
- Agentic Engineering (End-to-End Delivery)
- Build, test, and deploy production‑grade AI workflows using approved orchestration platforms
- Implement multi‑agent coordination, tool integration, and context management
- Integrate workflows into enterprise systems via APIs, MCP/A2A patterns, or equivalent
- Ensure all solutions are observable, measurable, and production‑ready (tracing, evaluation, monitoring)
- Adoption & Domain Transformation (Value Realisation)
- Drive real adoption of AI workflows within the domain (not just deployment)
- Lead process discovery sessions and stakeholder alignment
- Identify and mitigate adoption risks (trust gaps, workarounds, capability gaps)
- Deliver capability transfer and enable domain teams to operate AI‑enabled workflows
- Risk, Control & Governance (Non‑Negotiable)
- Embed guardrails, auditability, and control logic into every workflow design
- Own the domain’s contribution to AI Model & Risk Review (performance, drift, exceptions)
- Ensure compliance with AI governance standards: explainability, traceability, escalation protocols
- Proactively surface control gaps – before formal gating
Qualifications
- Bachelor’s degree in business administration or law or the equivalent combination of education, training, or work experience.
- Proven experience building AI‑powered workflows in production environments
- Hands‑on expertise with agentic AI frameworks or orchestration platforms (e.g., LangChain, LangGraph, AutoGen, CrewAI, MCP‑based systems)
- Strong Python and experience with:
- LLM integration
- Prompt engineering
- Tool/function calling
- Context and memory management
- Ability to translate business processes into technical system designs
- Experience driving technology adoption within a business domain
- Working knowledge of:
- AI observability
- Model evaluation
- Guardrails and control design
- Domain expertise: risk, fraud, AML, credit, compliance, or financial operations
- Experience with:
- Enterprise integrations (APIs, MCP/A2A)
- Knowledge graphs or vector‑based retrieval systems
- Regulatory AI frameworks (e.g., SR 11‑7, EU AI Act)
- Experience contributing to shared AI platforms or reusable component libraries
Bonus Skills
- Works under general supervision with increased latitude for independent judgment.
- Works on multiple concurrent projects of medium complexity.
- Provides regulatory compliance advice to line of business employees and Compliance Officers.
- Is an active team member, contributes to complex projects to gain experience, shares ideas and suggests process improvements appropriate for level of experience.
- Consults with senior peers on complex processes to learn through experience.
Senior AI Workflow Engineer employer: Worldpay
Worldpay is an exceptional employer that fosters a vibrant and inclusive work culture in Leicester, where innovation and collaboration are at the forefront. Employees benefit from comprehensive training, ample opportunities for career growth, and the potential for significant earnings, making it a rewarding place to advance your sales career. Join a team that values your contributions and empowers you to make impactful decisions every day.
