Role: AI Platform Engineer (6-Month Contract)
Location: Remote
Contract Type: 6-Month Contract
Overview
We are seeking an experienced AI Platform Engineer to provide Level 1 and Level 2 operational support for our enterprise AI platform. This customer-facing role involves technical troubleshooting, proactive platform management, and close collaboration with vendor engineering teams to ensure seamless and reliable AI platform operations.
Key Responsibilities
Operational Support
* Provide L1 support for customer-reported issues and service requests.
* Deliver L2 troubleshooting by diagnosing, replicating, and resolving issues across platform components and underlying infrastructure.
* Coordinate L3 escalations with vendor product and engineering teams, tracking responses and resolutions.
* Monitor system health, alerts, and customer usage patterns to proactively identify potential issues.
* Maintain detailed documentation, knowledge base articles, and support procedures.
* Automate recurring operational tasks and fixes to improve efficiency.
* Support tooling integration and configuration to enhance monitoring, reporting, and performance.
* Assist customers with onboarding, configuration, and platform best practices.
* Collaborate with infrastructure, platform, and application teams to resolve integration and interoperability issues.
* Ensure adherence to SLAs, uptime targets, and customer satisfaction goals.
* Provide reporting on platform usage, workflows, and billing insights for stakeholders.
Technical Responsibilities
* Cluster Infrastructure Management: Administer and support GPU cluster infrastructure.
* High Availability & Resilience: Implement failover and redundancy strategies to ensure minimal downtime.
* Resource Optimization: Manage GPU resource partitioning, workload scheduling, and capacity planning.
* Performance Monitoring: Utilize HPE tools for real-time monitoring, diagnostics, and tuning.
* Incident Response: Address node failures, driver issues, and networking incidents; escalate to vendors when needed.
* Security & Access Control: Manage RBAC, user permissions, platform hardening, and data protection measures.
Required Skills & Experience
* 10 years of experience in technical support, systems engineering, or platform operations.
* Strong knowledge of L1/L2 support processes, including ticketing, escalation, and troubleshooting workflows.
* Familiarity with cloud-based platforms, APIs, and distributed systems.
* Understanding of AI/ML workflows (model training, inference, data pipelines).
* Experience with monitoring and logging tools (e.g., Grafana, Kibana, Splunk).
* Excellent communication and customer engagement skills.
* Working knowledge of ML engineering and data science toolchains to optimize user experience.
Core Technical Skills
* System Administration: RHEL/CentOS, Ubuntu, Linux kernel tuning.
* Automation & Orchestration: Ansible, Kubernetes, container management.
* GPU & AI Tooling
* Automation, Monitoring & Security: Experience delivering GPU-as-a-Service with appropriate observability and controls.