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 ResponsibilitiesPartner 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.RequirementsBachelor'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 SkillsProgramming & Data: Python; SQLAI & Machine Learning: LangChain; LlamaIndex; OpenAI; DeepSeek; AI Agents; RAG FrameworksVector Databases: Milvus; Elasticsearch; QdrantData Engineering: Apache Airflow; Apache SparkInfrastructure & Cloud: Docker: Kubernetes; Terraform\DevOps & CI/CD: Jenkins; Git; Ansible; SonarQube; JIRATesting: PyTest; JUnit; JMeterPreferred AttributesExperience 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.