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AI Engineer / Cloud Services Architect

Afterwork Startup — Hong Kong Sar · Posted ~5 days ago

Lead

Skills

Cloud architecture Cloud infrastructure AI service deployment Multi-cloud integration Cloud cost optimization AI model deployment Model training Inference Cloud security Technical leadership Project leadership Alibaba Cloud Tencent Cloud Google Cloud AI/ML platforms Multi-cloud

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Summary ✨ AI‑Generated

A technical leadership role focused on designing scalable cloud infrastructure and deploying AI services across multi-cloud and private environments. You will oversee model training and inference, optimize performance and costs, strengthen security, and guide cross-functional teams through AI-driven initiatives.

Highlights

Lead cloud infrastructure and AI service architecture across public and private environments. The role combines hands-on technical work with AI project leadership, cost optimization, security, performance engineering, and team mentoring.

Description

We are seeking a highly skilled Cloud Infrastructure Specialist with extensive experience in cloud computing, AI service deployment, and multi-cloud integration. The ideal candidate will have a proven track record of designing and implementing robust cloud infrastructures, optimizing costs, and leading AI-driven projects. Key Responsibilities Cloud Infrastructure Development Design and implement scalable cloud infrastructures using public (Alibaba Cloud, Tencent Cloud, Google Cloud) and private cloud solutions. Lead the architecture and deployment of AI models and cloud services, ensuring optimal performance and security. AI Service Management Oversee the end-to-end deployment of AI cloud services, including model training, inference, and operationalization. Collaborate with cross-functional teams to integrate AI capabilities into existing systems and improve overall service delivery. Project Leadership Act as a technical lead in AI research projects, mentoring teams and guiding the development of AI applications. Manage partnerships with academic institutions to bridge the gap between research and commercial AI solutions. Cost Optimization Develop cost-effective strategies for cloud resource management and operations. Conduct regular assessments of cloud performance and security to identify areas for improvement. Compliance And Security Implement and maintain cloud security protocols to protect sensitive data and ensure compliance with industry standards. Regularly audit cloud infrastructure for vulnerabilities and implement corrective measures. Qualifications Education : Bachelor’s degree in Information Science, Computer Science, or a related field. Experience 8+ years in cloud infrastructure development, SaaS product development, and AI cloud service deployment. Proven experience with hybrid cloud environments and multi-cloud integration. Technical Skills Proficient in programming languages such as Python and Java. Strong knowledge of cloud native frameworks, AI model deployment, and container orchestration (Kubernetes). Familiarity with cloud security practices and risk management. Preferred Attributes Strong analytical and problem-solving skills. Excellent communication and interpersonal skills to work collaboratively with diverse teams. Passion for innovation and continuous learning in the cloud and AI sectors. Fluent in English and Mandarin