AI Engineering Head

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal. Job Description The Head of Engineering leads the technical execution of Globe’s AI Engineering strategy, overseeing the development, delivery, and operations of AI-driven backend systems, platforms, and reusable modules across multiple product lines. This role is responsible for driving engineering excellence, ensuring architectural cohesion, and cultivating a high-performance engineering culture. Duties and Responsibilities Technical Strategy & Execution Define and execute the AI Engineering roadmap aligned with business and platform strategy. Oversee the architecture, design, and development of scalable AI services, APIs, and infrastructure. Apply modern engineering practices such as DevOps, CI/CD, SRE, and IaC where available. Engineering Leadership Lead and mentor a multidisciplinary engineering team (backend, cloud, AI, data, fullstack). Champion code quality, documentation, testing standards, and system reliability. Foster a growth‑oriented engineering culture with knowledge‑sharing, innovation, and technical excellence. Platform & Systems Architecture Ensure architectural alignment across backend systems, AI workloads, and cloud infrastructure. Drive the adoption of reusable components, standard patterns, and platform scalability best practices. Oversee performance monitoring, capacity planning, and optimization of high‑throughput systems. AI & Data System Integration Collaborate with AI scientists, product teams, and architects to productionize models and pipelines. Ensure data infrastructure supports AI training, inference, and real-time use cases effectively. Champion observability, model governance, and ethical AI usage within engineering systems. Security, Compliance & Operations Embed security‑by‑design principles in all engineering efforts. Ensure compliance with regulatory standards (e.g., GDPR, HIPAA) and internal governance policies. Drive incident response readiness, disaster recovery planning, and operational resilience. Strengthen AI governance through observability, model governance, and ethical AI alignment. KPI Metrics Engineering velocity and delivery cadence (e.g., sprint throughput, release frequency) Platform/system uptime and operational reliability Model accuracy and adherence to business requirements Code quality, security audit scores, and technical debt reduction Stakeholder and cross‑functional team satisfaction Deliverables Unified Engineering Roadmap and Governance Framework Scalable AI Platform Architecture and Component Library High‑performing, reliable backend and data systems powering AI models Team Capability Growth & Mentorship Programs Security, Observability, and Operational Runbooks Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical fields (or equivalent experience). 10+ years in engineering with significant expertise in AI system architecture and design. Extensive experience building scalable, high‑performance systems in cloud environments (AWS, GCP, Azure). Demonstrated leadership in technical strategy, architecture planning, and execution. Equal Opportunity Employer Globe is an Equal Opportunity Employer. The hiring process promotes equal opportunity to applicants. Any form of discrimination is not tolerated throughout the employee lifecycle, including hiring. Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here. #J-18808-Ljbffr