AIOps Architect

We are seeking anAIOps 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