Artificial Intelligence 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.