Head of AI Engineering

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🕒 April 6

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GLOBALTALENT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 10+

🎯 Recruiter

👥 HR Tech

🤖 Artificial Intelligence

Recruitment • HR Tech • Artificial Intelligence

GLOBALTALENT is a leading human resources and employment management service provider in China, established in 2004. The company focuses on integrating the art of recruitment with technology, providing high-standard talent solutions. GLOBALTALENT helps Fortune 500 companies and rapidly growing businesses to identify, recruit, and hire top talent, thereby winning the talent acquisition game. With over 300 client partnerships and more than 3,000 successful projects, GLOBALTALENT is renowned as a reputable recruitment agency across Asia. Known for its professional expertise, GLOBALTALENT has developed an industry-leading knowledge management and talent tracking system that combines professional skills with AI technology to streamline the talent search process. The company's expertise spans various sectors including life sciences, pharmaceuticals, technology, finance, and consumer goods.

📋 Description

• Own all engineering deliverables — quality, scalability, and on-time execution • Lead and manage the full engineering organization: AI Engineers, ML Engineers, MLOps, and Data Engineers • Establish and run Agile/Scrum processes: sprints, backlog grooming, ticketing, and release planning • Build a culture of accountability, experimentation, and continuous improvement • Define and standardize best practices across the full AI/ML lifecycle — from experimentation through deployment and monitoring • Architect and oversee a full ML platform: infrastructure, scalability, reliability, and rapid iteration • Design and build scalable, end-to-end ML solutions for predictions, recommendations, search, and growth systems • Evaluate experiments, document findings, select winning approaches, and roll them out team-wide • Contribute directly to system architecture and key technical decisions • Oversee model training, optimization, deployment, and performance monitoring • Drive data excellence: clean pipelines, strong governance, and actionable insights • Establish frameworks that integrate generative AI into engineering workflows • Join client calls as a senior technical voice, shaping solutions and building stakeholder trust • Partner with product managers and business leaders to translate business objectives into technical roadmaps • Present trade-offs clearly so clients understand what's being built and why it will move their business • Hire, coach, and mentor top-tier AI-first engineers and engineering leaders • Establish clear career paths, feedback loops, and performance standards • Scale the AI function across MLE, MLOps, and Data Engineering as the company grows

🎯 Requirements

• 10+ years of engineering experience with significant and proven leadership responsibility • Track record managing large engineering teams in fast-moving, high-accountability environments • Deep expertise in AI/ML systems — generative AI, model training, and production deployment • Strong command of Agile/Scrum and the operational discipline to run a high-output engineering org • Experience architecting and scaling ML platforms and data infrastructure • Comfortable being client-facing and translating complex technical concepts into business value • English proficiency at C1 level or above.

🏖️ Benefits

• Flexible working arrangements