Director of Engineering
Core
Leading the strategic vision and development of AI/ML-driven detection systems for fraud, risk, and AML operations to protect over 2 million members globally.
Role type
Director of Engineering (Fraud, AML, and Risk)
Builds
Autonomous, multi-agent workflows for investigating alerts, querying external data, and making initial risk determinations; production-grade risk-scoring environments.
Domain
Fintech / Financial Services / AI Security
Deliverable
production ML models
Required skills
Machine Learning (supervised/unsupervised, neural networks, LLMs), Multi-agent orchestration frameworks, Adversarial AI security, Fintech fraud/AML domain knowledge, Cloud-native architectures, People leadership
Preferred skills
Experience with agentic AI detections, Deepfake detection, Prompt injection attack mitigation
Technologies
LangGraph, AutoGen, AWS, GCP
Responsibilities
Owning technology strategy and roadmap for Ongoing Monitoring; Building autonomous multi-agent workflows; Developing detection systems for adversarial agentic behavior; Ensuring AI systems are auditable and compliant with AML directives; Leading and growing multiple engineering squads; Partnering with Product, Data, AI, Risk, and Ops to improve predictive ML modelling.
Seniority
Director, strategic leadership & hands-on technical direction
