AIOps Architect

We're looking for anAIOps Architect to head up AI, agentic automation, and observability architecture for our Software Development Platform (SDP) Services—a 400–500 cloud Python application estate that supports revenue-critical functions like Algo Trading, Quant Models, and Data Loaders. This position owns the autonomous operations layer, ensuring reliable, governed execution across 48 tier-one critical applications with sub-2h RTO, 45 databases, and 320 production environments across 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 issues by business capability and technical stack ahead of L2 engagement
• Provide technical governance on platform-layer changes, guardrails, and patterns for the low-code/no-code environment
• Act as the technical point of contact for the SDP platform governance function
• Identify operational failure patterns and recommend platform-side fixes
• Maintain SLA compliance, including P1 15 min/4 h and P2 30 min/8 h, with round-the-clock coverage for highly critical applications

Requirements

• 14+ years of overall IT experience, including hands-on work 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 like Datadog, Jira, and AWS APIs
• Background working with cloud-hosted Python environments (AWS preferred), including distributed databases and governance of low-code/no-code platforms
• Familiarity with enterprise monitoring tools such as Datadog, Dynatrace, and Prometheus/Grafana, overseeing 300+ production environments
• Experience governing low-code/no-code platforms
• Strong ability to explain technical risks and operational status to non-technical business application owners