Head of Artificial Intelligence

Responsibilities

• Define AI Roadmap: Craft a comprehensive enterprise-wide AI strategy and vision that aligns with the company's long-term objectives.
• Identify Opportunities: Partner with C-level executives to identify high-impact use cases where AI can solve business problems or create new revenue streams.
• Business Alignment: Ensure all AI initiatives deliver measurable value, defining key performance indicators (KPIs) to track success.

• Build High-Performing Teams: Recruit and manage cross-functional teams, including data scientists, machine learning engineers, and researchers.
• Mentorship: Provide technical leadership and professional guidance to team members, fostering a culture of continuous learning and innovation.
• Cross-Functional Collaboration: Coordinate with IT, product, and engineering teams to integrate AI solutions into existing workflows and products.

• Oversee Development: Lead the design, prototyping, and deployment of advanced AI/ML models (e.g., NLP, Generative AI, Computer Vision).
• Technology Selection: Evaluate and select appropriate AI platforms, vendors, and large language models (LLMs) for organizational use.
• Standardization: Establish MLOps standards, model lifecycle practices, and quality assurance processes for production environments.

• Ethical AI: Oversee the design of policies for safe and responsible AI use, addressing issues like bias, fairness, and transparency.
• Regulatory Compliance: Ensure all AI activities adhere to data protection regulations (e.g., GDPR, CCPA) and industry-specific standards.
• Risk Mitigation: Manage the legal, operational, and security risks associated with deploying AI at scale.

• Thought Leadership: Act as the company's ambassador in the AI community and represent the organization at industry conferences.
• Literacy Programs: Drive "AI literacy" across the organization, educating non-technical stakeholders on the capabilities and limitations of AI.
• Partnership Management: Build strategic partnerships with academic institutions, research organizations, and technology vendors.

Requirements

• Bachelor's degree holder
• At least 20 years of solid experience gained from large companies with a strong focus on AI and data
• Fluent Chinese and English