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Tide is a fintech platform serving over 2 million SMEs globally with business banking, invoicing, and accounting solutions. The company has raised over $300M and operates across the UK, India, Germany, and France with 2,800+ employees.
This is a newly created Director of Engineering role leading Tide's Ongoing Monitoring division—the fraud detection, AML, and financial crime engine protecting 1.6M+ members. You will own the technology strategy, architecture, and AI roadmap from the ground up with no legacy constraints.
Key responsibilities include:
- Setting technology strategy and roadmap for fraud detection, AML, financial risk, and AI workflows across the Ongoing Monitoring platform
- Building and deploying agentic AI systems in production: multi-agent workflows that investigate alerts, retrieve external data, chain complex reasoning, and make real-time risk decisions
- Designing detection systems for emerging threats: bot swarms, deepfake-powered KYC bypass, account takeover, APP fraud, and algorithmic fraud loops
- Ensuring all AI systems are auditable, explainable, and compliant with global AML directives and data privacy regulations
- Building and scaling engineering organizations across India, Eastern Europe, and the UK with inclusive, high-performance culture
- Partnering with Product, Data, AI, Risk, and Operations teams to accelerate the ML lifecycle, improve predictive modeling, and reduce deployment time
- Driving data-driven decisions and AI/ML opportunities that reduce operational cost and friction at scale
Required qualifications:
- 15+ years of engineering experience with 5+ years in Director-level leadership roles
- Strong expertise in supervised/unsupervised ML, decision trees, neural networks, and LLMs
- Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen) for compliance workflows
- Deep fintech domain knowledge: fraud vectors (mule accounts, account takeovers, synthetic identity fraud) and AML typologies
- Proven track record in adversarial AI security: detecting deepfakes, synthetic identities, prompt injection attacks
- Minimum 5+ years building and deploying production-grade risk-scoring systems at scale
- Experience with fintech risk/compliance tooling (AML, fraud detection, financial risk, SARs, KYX)
- Strong people leadership and team-building skills
- Solid technical foundations: cloud-native architectures, microservices, event-driven systems, data platforms (AWS/GCP)
