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 & Delivery

• Lead 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 & Architecture

• Provide 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 Readiness

• Drive 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 Leadership

• Work 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 Management

• Lead 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.

Qualifications :

Minimum Qualifications

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related technical field.
• 6 years of relevant experience in AI engineering MLOps DevOps GenAIOps data engineering or applied AI delivery.
• Experience working in a consulting client-facing or professional services environment is strongly preferred.
• Hands-on experience designing and delivering AI/ML solutions in production or production-like environments.
• Strong programming skills in Python and experience with modern AI/ML frameworks and techniques such as PyTorch Hugging Face LangChain LlamaIndex  and AI orchestration platform such as n8n.
• Experience with cloud-based AI services and platforms such as AWS/Bedrock Azure/Foundry GCP/Vertex Alicloud/PAI Tencent Cloud/TI Databricks or similar providers.
• Strong understanding of backend engineering APIs microservices containerization and cloud-native architecture.
• Familiarity with MLOps or GenAIOps practices including CI/CD monitoring model evaluation observability and production support.
• Excellent communication skills with the ability to explain complex technical concepts to senior stakeholders business users and technical teams.
• Strong problem-solving ability business acumen and comfort working in ambiguous client environments.
• Fluency in English is required. Fluency in Cantonese is highly preferred for the Hong Kong market. Mandarin or other Asian language proficiency would be advantageous.

Preferred Qualifications

• Experience leading technical teams or managing AI engineering workstreams.
• Experience delivering enterprise AI solutions across sectors such as banking insurance energy or retail & consumer goods.
• Experience with agent frameworks multi-agent orchestration memory architectures and workflow automation on-prem and on cloud LLM deployments
• Experience with Docker Kubernetes Terraform CI/CD pipelines and modern DevOps practices.
• Familiarity with security data privacy model risk management Responsible AI GDPR SOC2 or AI governance frameworks.
• Experience using AI-native engineering tools such as GitHub Copilot Cursor Claude Code or similar tools.
• Experience supporting business development proposals solution estimation or client presentations.

Additional Information :

This Role Is Right for You If You Like To

• Work on high-impact AI and Generative AI projects across different industries.
• Be client-facing and operate with autonomy in a consulting environment.
• Build practical AI solutions that move beyond proof-of-concept into real production use.
• Collaborate with diverse teams across data science software engineering cloud product and business consulting.
• Mentor engineers and contribute to the growth of a high-performing AI team.
• Stay close to emerging AI technologies while focusing on business outcomes and delivery excellenceGrow your career in a fast-moving international performance-driven consulting environment.

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Remote Work :

No

Employment Type :

Full-time