Head of AI Platform Engineering, Execution Services

The Company is seeking a Head of AI Platform Engineering for Execution Services. This leadership role is pivotal in defining and delivering the runtime foundation that underpins AI-driven capabilities across the enterprise. The successful candidate will be responsible for the design, development, and operation of platform components that execute intelligent workflows, connect models to enterprise systems, manage agent interactions, and support scalable AI applications in production. Collaboration with cross-functional teams is essential to drive platform innovation that enhances automation, customer and employee experiences, and operational efficiency. Key responsibilities for the Head of AI Platform Engineering include leading the strategy, architecture, and delivery of platform services, building and managing high-performing engineering teams, and partnering with various stakeholders to ensure scalable AI platform capabilities. The role also involves defining and executing a technology roadmap, establishing engineering best practices, and driving continuous improvements in scalability, resiliency, and cost efficiency. The ideal candidate will have a strong technical background in distributed systems, cloud-native platforms, AI/ML infrastructure, and large-scale data ecosystems, as well as experience in enterprise integration patterns and AI retrieval architectures. A security-first approach and the ability to serve as a trusted technical advisor to senior leadership are also crucial. Applicants for the Head of AI Platform Engineering position at the company should hold a Bachelor's or Master's degree in a relevant discipline and have significant experience leading software engineering organizations. Required qualifications include a deep understanding of enterprise integration patterns, APIs, and AI retrieval architectures, as well as a proven track record in building highly available, low-latency, and fault-tolerant services. Experience in CI/CD practices, infrastructure automation, and production support models is essential. Preferred qualifications include hands-on experience with AI agent platforms, intelligent automation frameworks, and expertise in modern cloud services. The role demands excellent communication, stakeholder management, and organizational influence skills, and the ability to operate in highly regulated, security-conscious environments.