Lead Data and AI Quality Engineer
Core
Lead Data and AI Quality Engineer ensuring quality assurance for AI and Non-Financial Risk Reporting initiatives within a Risk and Compliance team.
Role type
Lead Data and AI Quality Engineer
Builds
Robust, high-quality AI and risk reporting solutions meeting regulatory standards
Domain
Financial Services / Risk and Compliance / AI Quality Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (5+ years), OOP, async programming, AI model testing, AI code agent testing, LLM testing (prompt engineering, hallucination detection), MCP testing, SQL/NoSQL databases, DevOps, containerization, CI/CD (Git, GitHub Actions)
Preferred skills
Data governance frameworks, AI agent orchestration, Infrastructure as Code
Technologies
Python, pytest, requests, django, fastapi, Oracle, SQL Server, PostgreSQL, MongoDB, Git, GitHub Actions
Responsibilities
Design and implement test strategies for AI and risk reporting; Code test utilities and QA tools; Validate database schemas and data integrity; Develop automated test frameworks and execute CI/CD pipelines; Test AI code agents and autonomous systems for accuracy and compliance.
Seniority
Senior, hands-on IC with strategic planning