pyyne - Senior AI Infrastucture Engineer

• AI Platform & Integration • Design and deploy AI platforms that integrate with infrastructure tools, monitoring systems, CMDBs, ITSM platforms, cloud environments, and operational data sources. • Develop AI-powered workflows that automate routine operational tasks and decision-making processes. • Integrate large language models (LLMs), AI agents, and machine learning services into infrastructure operations. • Infrastructure Automation • Build AI-driven automation for incident response, remediation, patching, provisioning, and operational workflows. • Develop self-service capabilities that reduce manual support effort through intelligent assistants and virtual agents. • Automate repetitive engineering and operational tasks using Infrastructure-as-Code (IaC) and AI-assisted orchestration. • Operational Intelligence & Observability • Implement AI-powered monitoring, anomaly detection, predictive alerting, and root-cause analysis capabilities. • Create intelligent operational dashboards that provide actionable insights and recommendations. • Improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) through AI-driven event correlation and automation. • Cloud & Cost Optimization (FinOps) • Develop AI solutions that continuously analyze infrastructure consumption and identify cost-saving opportunities. • Implement predictive capacity planning and resource optimization across cloud and on-premises environments. • Create automated recommendations for rightsizing, reservation management, workload placement, and infrastructure utilization. • Reliability & Performance Engineering • Ensure AI platforms and automation solutions operate reliably in production environments. • Design scalable, resilient architectures capable of supporting enterprise-wide adoption. • Implement observability, logging, monitoring, and governance controls for AI-enabled infrastructure services.