Engineering Manager, AI & Automation

Candidate Description

Driving enterprise AI and intelligent automation across regulated financial services, the candidate brings more than 10 years of experience spanning software development, consulting and engineering leadership. Their career includes senior roles at a Financial Institution and another Financial Institution, supported by earlier enterprise delivery experience at a Technology Consulting Firm and a Technology Consulting Firm. Core expertise covers Microsoft Power Platform, Azure, AWS, enterprise integration and AI-enabled knowledge retrieval. They combine hands-on engineering in Python, C# and .NET with architecture, platform governance and technology risk management. A Master of Computing specialising in AI from a university underpins their practical approach to building scalable, trusted production capabilities.

Combining RAG architecture with disciplined AI engineering, they have delivered intelligent assistants using Azure AI Foundry, Azure AI Search, SharePoint knowledge repositories, vector embeddings and hybrid retrieval. At a Financial Institution, they reduced hallucination rates from 22% to below 5% on an internal evaluation set through citation enforcement, prompt and context engineering, and systematic evaluation. Their platform modernisation work delivered more than $2 million in annual run-cost savings and a 45 FTE capacity uplift. They also engineered document processing and digital signing capabilities handling more than 50,000 documents monthly under regulated audit controls. At a Financial Institution, they embedded automated controls into CI/CD pipelines, reducing manual policy exceptions by 70% within two quarters, and developed 28 reusable components that cut onboarding cycle times by 80%. Their delivery approach spans the software development lifecycle, automated testing, reusable architecture patterns and production assurance.

Their leadership combines clear technical direction with coaching, cross-functional collaboration and accountable platform ownership. At a Financial Institution, they led more than 20 engineers and established reusable foundations adopted by six delivery squads. At a Financial Institution, they built and operated the Power Platform Graduate Academy and chaired an enterprise architecture review council across enterprise platforms and internal AI capabilities. Experience across banking, government, consulting and sustainability technology enables them to adapt architecture and delivery practices to diverse operational needs. They work closely with executive stakeholders, product owners, Risk, Cyber and Compliance teams to translate strategic ambitions into governed engineering outcomes. This combination of technical depth, Responsible AI leadership and capability building positions them to scale enterprise AI while improving cost efficiency, engineering quality and business value.