Software Engineering Lead / Applied AI Engineering
Core
Lead a multidisciplinary engineering team delivering AI-powered services and tools for digital identity, fraud detection, and behavioural intelligence.
Role type
Senior IC engineering lead (AI/ML platform)
Builds
AI-enhanced services, internal tools, and platform components for digital identity and fraud detection
Domain
Financial risk, fraud detection, and digital identity
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java, ML engineering, distributed systems, technical leadership, MLOps, DevOps, SecOps, model deployment, CI/CD pipelines
Preferred skills
fraud/identity/risk systems, LLM tooling, feature stores, model monitoring, real-time scoring systems
Technologies
Snowflake, Spark, Databricks
Responsibilities
Lead and grow a team of full-stack ML engineers, QA engineers, and UI developers; Define technical direction for AI-enhanced services; Drive architecture for model deployment pipelines and inference APIs; Ensure high-quality delivery across code quality, testing, and observability; Partner with Product, Architecture, and ML Research teams; Foster a culture of modern AI development practices; Set and enforce DevOps and SecOps standards; Coordinate cross-team dependencies and contribute to roadmap planning; Support hiring, onboarding, and performance development
Seniority
Senior, hands-on IC with leadership responsibilities
