AI Platform Support (Automation Engineer)/12-months/FS

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.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.