AI Engineer - Manager

We are looking for an AI Engineering Manager to join our team in Hong Kong to help lead the design and delivery of AI-powered solutions for our clients. This role combines hands-on technical expertise, designing solution architecture, consulting delivery, and team leadership.AI Solution Design & DeliveryLead the design, development, and deployment of AI solutions for clients across multiple industries.Build applications powered by LLMs, RAG pipelines, vector databases, semantic search, document intelligence, summarization, and workflow automation.Design and implement agentic AI systems, including tool calling, orchestration, memory management, and human-in-the-loop workflows.Ensure AI solutions are aligned with client objectives, performance requirements, security standards, and cost considerations.Engineering & ArchitectureProvide technical leadership across the AI engineering lifecycle, from prototyping through to production deployment.Architect scalable backend systems, APIs, microservices, and cloud-native AI applications.Work with frameworks and tools such as Python, LangChain, LlamaIndex, Hugging Face, PyTorch, FastAPI, Flask, Docker, and Kubernetes.Deploy industry-standard AI solutions on cloud platforms such as AWS, Azure, GCP, Alibaba Cloud, or Tencent Cloud.MLOps, GenAIOps & Production ReadinessDrive MLOps and GenAIOps best practices, including CI/CD, testing, monitoring, evaluation, and production support.Establish evaluation frameworks for LLM applications, including relevance, explainability, factuality, hallucination risk, latency, cost, and robustness.Ensure AI systems are production-ready, scalable, secure, maintainable, and aligned with operational requirements and industry standards.Consulting & Client LeadershipWork directly with clients to understand business challenges, identify AI opportunities, and translate requirements into solution designs.Lead client workshops, technical discovery sessions, architecture reviews, and solution demonstrations.Communicate complex AI and technical concepts clearly to both technical and non-technical stakeholders.Support sales, pre-sales, and proposal development by shaping technical solutions, delivery plans, estimates, and narratives.Advise clients on AI adoption, responsible AI, operating models, governance, and technology strategy.Team Leadership & Delivery ManagementLead small to medium-sized engineering teams in the delivery of AI and GenAI projects.Mentor AI engineers, software engineers, and junior consultants through technical guidance, code reviews, and structured feedback.Coordinate across data science, engineering, product, cloud, security, and business teams to ensure successful delivery.Promote engineering excellence, documentation, reusable assets, knowledge sharing, and continuous improvement.