The role involves designing, engineering, and implementing scalable AI automation programs for clients in the banking and financial services sector. The individual will lead the end-to-end architecture of AI, machine learning, and agentic AI solutions, including model selection and data pipeline development. Responsibilities include defining reference architectures, establishing engineering standards, and ensuring solutions meet security and compliance requirements. The position requires overseeing the technical delivery lifecycle, from requirements gathering to deployment and hypercare. Additionally, the role involves guiding engineering teams on model training, orchestration frameworks, and the integration of AI into enterprise systems.

The role requires strong practitioner experience in designing and implementing AI, machine learning, and agent-based systems. Candidates must possess hands-on experience with cloud AI platforms, vector databases, and LLM orchestration frameworks. Proficiency in Python, API development, microservices, and automation frameworks is necessary. Furthermore, the position demands a background in modern engineering stacks, including Java and .NET, along with experience delivering solutions within regulated financial institutions.