AI Platform Engineer

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.