AIOps Architect

We are seeking an AIOps Architect to lead the AI, agentic automation, and observability architecture for our Software Development Platform (SDP) Services, a 400–500 cloud Python app estate supporting revenue-critical capabilities including Algo Trading, Quant Models, and Data Loaders. In this role, you will own the autonomous operations layer, ensuring reliable, governed execution across 48 tier-one critical apps with sub-2h RTO, 45 databases, and 320 production environments spanning 12 countries. Responsibilities Define and maintain the AI-driven monitoring and observability architecture for the SDP platform estate Design and operate automated triage and incident classification processes, routing by business capability and technical stack before L2 engagement Provide technical governance on platform-layer changes, guardrails, and patterns for the low-code/no-code environment Serve as the technical interface to the SDP platform governance function Surface operational failure patterns and propose platform-side remediation Ensure SLA adherence, including P1 15 min/4 h, P2 30 min/8 h, with 24×7 coverage for highly critical applications Requirements 14+ years of overall IT experience, with hands-on experience in platform/solution architecture and AI/ML or AIOps Experience building autonomous multi-agent workflows, LLMOps pipelines, RAG systems, and tool-use integrations across platforms such as Datadog, Jira, and AWS APIs Background in cloud-hosted Python environments, with AWS preferred, including distributed databases and low-code/no-code platform governance Familiarity with enterprise monitoring tooling such as Datadog, Dynatrace, and Prometheus/Grafana, managing 300+ production environments Experience governing low-code/no-code platforms Exceptional ability to communicate technical risks and operational status to non-technical business application owners