Senior AI Workflow Engineer

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.

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