AI Engineer

• Lead a high-performing AI engineering team comprising software engineers and AI practitioners.
• Provide hands-on technical direction, foster career growth, and cultivate a collaborative culture that emphasizes engineering excellence, innovation, and continuous improvement.
• Drive the design, development, and deployment of production-grade AI systems tailored to audit applications.
• Ensure solutions are scalable, reliable, and maintainable by applying strong software engineering principles, MLOps practices, and cloud-native development.
• Oversee the full lifecycle of AI product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph.
• Champion automation, testing, and observability across pipelines.
• Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support version control, performance optimisation, and maintainability.
• Partner closely with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans.
• Implement engineering controls to support responsible AI use, including model monitoring, explainability, security, and auditability.
• Drive initiatives to enhance internal capabilities, empowering team members and the broader Audit Technology function with the skills and knowledge to adopt and adapt AI innovations effectively.

Senior Manager – Principal AI Engineer

Founding Product Designer

AI Specialist

Senior Applied AI Engineer

Staff AI Engineer