3xAI Platform Support Engineer/12-months contract/FS/30-50K P/M

AI Platform Support Engineer (2-6 Yrs) Role Details Position Title: AI Platform Support Engineer x 3 Client Type: Top-Tier Financial Services Enterprise Location: Hong Kong (Onsite - Central) Employment Type: 12 month contract Experience Required: 2-6 years in Platform Support, Cloud/On-Prem Systems, Data Platforms, or SRE Position Overview We are seeking 3 AI Platform Support Engineer to drive operational excellence, system stability, and release management across enterprise-grade AI, GenAI, and Data Lake infrastructures. Operating within a high-security hybrid and on-premises cloud environment, you will play a pivotal role in maintaining L1/L2 platform stability, overseeing model lifecycle pipelines, and ensuring high availability for business-critical AI services. Key Responsibilities Platform Operations & L1/L2 Support: Lead L1/L2 support, incident management, root-cause analysis, and escalation pathways for enterprise AI applications, GenAI solutions (e.g., Azure OpenAI, RAG architectures), data lake infrastructure, and data science environments. Hybrid Infrastructure & Patch Management: Execute routine patch management, version upgrades, and system maintenance across relational and vector databases, AI support tools, and hybrid/on-prem infrastructure. Release & Deployment Management: Oversee production deployments, CI/CD execution, change verifications, and rollback procedures in compliance with enterprise change management protocols. Monitoring & Platform Reliability: Monitor system performance, model endpoints, streaming data pipelines, and platform availability using enterprise monitoring stacks (Prometheus, Grafana, CloudWatch). Cross-Functional Collaboration: Partner closely with AI Engineers, Data Scientists, and Infrastructure leads to support model lifecycle management (MLOps) and data platform workflows. Automation & Process Optimization: Identify support bottlenecks and develop Python/Shell automation to streamline internal operations and support workflows. Key Requirements Education: University degree in Computer Science, Information Technology, Data Engineering, Artificial Intelligence, or related disciplines. Experience: 2-6 years of relevant hands-on experience in application support, platform support, cloud/on-prem systems, or data platforms. Technical Stack: Infrastructure & DevOps: Enterprise Cloud (AWS, Azure, Alibaba Cloud) and On-Prem Hybrid environments; Docker, Kubernetes; Git, Jenkins, JIRA. AI & GenAI Solutions: Azure OpenAI, AWS Bedrock, Dify, RAG architecture, MLflow, Ray Serve. Data Platforms: Apache Airflow, Apache Spark, Hive, Apache Iceberg. Databases & Access: PostgreSQL, Vector Databases (Weaviate or equivalent), Keycloak IAM. Programming & Web: Python, SQL, Shell scripting (Bash), Node.js / Next.js. Monitoring: Prometheus, Grafana, CloudWatch, or equivalent tools. Domain Advantage: Prior experience managing L1/L2 support in regulated financial institutions or enterprise hybrid environments with strict DevSecOps/CI/CD pipelines. Soft Skills: Strong analytical problem-solving skills; excellent communication to engage with both technical teams and non-technical business stakeholders. Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.