AI Engineer Lead | Team Leader | 70K

Our client, a well-established financial regulatory organization in Hong Kong, is undergoing an enterprise-wide digital transformation journey and is expanding its Digital, Data & Technology team. They are seeking an experienced AI Engineering Lead to drive the design, development, testing, and deployment of AI-powered solutions that support key business initiatives across the organization. Key Responsibilities - Partner closely with business stakeholders to identify opportunities and deliver innovative AI solutions leveraging technologies such as RAG, AI Agents, and workflow orchestration. - Lead the end-to-end development lifecycle of AI applications, from proof-of-concept and prototyping through production deployment, ensuring proper testing, validation, and governance. - Design, develop, and integrate AI services with internal and external systems through APIs and Model Context Protocols (MCPs). - Collaborate with Data Scientists, Platform Engineers, Product Owners, and other technology teams to deliver scalable AI solutions in an agile and continuous delivery environment. - Evaluate emerging AI technologies, industry trends, and best practices, promoting adoption where appropriate. - Lead, mentor, and develop a team of AI Engineers while managing project scope, priorities, timelines, and delivery quality across multiple initiatives. - Contribute to solution architecture and technical design, aligning AI capabilities with business objectives and regulatory requirements. Requirements - Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. - Minimum 6 years of hands-on experience in AI Engineering, Software Engineering, Data Science, or a related field. - Proven experience developing and delivering AI applications, particularly Retrieval-Augmented Generation (RAG) and Generative AI solutions. - Demonstrated experience leading, mentoring, and managing technical teams. - Strong understanding of software architecture, system design, and the Software Development Life Cycle (SDLC). - Experience with cloud platforms such as AWS, Microsoft Azure, or Alibaba Cloud. Relevant certifications are advantageous. - Hands-on experience implementing MLOps or LLMOps practices within enterprise environments. - Experience in modern web application development is an advantage (e.g. React, Next.js, TypeScript). Preferred Technical Skills - Programming & Data: Python; SQL - AI & Machine Learning: LangChain; LlamaIndex; OpenAI; DeepSeek; AI Agents; RAG Frameworks - Vector Databases: Milvus; Elasticsearch; Qdrant - Data Engineering: Apache Airflow; Apache Spark - Infrastructure & Cloud: Docker: Kubernetes; Terraform\ - DevOps & CI/CD: Jenkins; Git; Ansible; SonarQube; JIRA - Testing: PyTest; JUnit; JMeter Preferred Attributes - Experience working within financial services, regulatory institutions, or other highly regulated environments. - Strong communication and stakeholder management skills with the ability to translate business challenges into practical technical solutions. - Strategic mindset with strong analytical and problem-solving capabilities. - Self-motivated team leader with the ability to drive innovation and influence change across the organization. - Experience working in multicultural and cross-functional teams. Please note that only shortlisted candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes.

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