Principal AIOps Architect - Cloud & Agentic AI

We are seeking a Principal AIOps Architect to lead enterprise-scale AIOps, Intelligent Operations, and Agentic AI transformation initiatives, driving architecture strategy across cloud, automation, and AI-driven operational intelligence platforms for large enterprise programs. Responsibilities Lead enterprise-scale AIOps, Intelligent Operations, Agentic AI, and automation transformation programs, defining target-state architecture, modernization roadmaps, governance, and reusable solution patterns Architect observability and operational intelligence solutions across metrics, logs, traces, events, topology, service dependencies, incidents, deployments, and configuration changes to enable anomaly detection, event correlation, service-impact analysis, and AI-assisted RCA Design Agentic AI solutions for IT Operations using Amazon Bedrock/AgentCore, Microsoft Foundry/Azure OpenAI, or Gemini/Vertex AI Agent Engine to enable reasoning, knowledge retrieval, tool invocation, multi-step investigation, recommendation, and operational decision-making Architect autonomous and semi-autonomous remediation solutions with policy controls, identity and access checks, risk assessment, Human-in-the-Loop approvals, rollback, recovery validation, auditability, and feedback mechanisms Integrate AIOps platforms with ITSM/CMDB, observability, CI/CD, cloud-management, knowledge, security, automation platforms, and enterprise APIs, including ServiceNow or equivalent solutions Lead enterprise architecture reviews, solution assurance, design authority, non-functional requirements, security, resilience, scalability, operational governance, and technical leadership across Cloud, SRE, DevOps, Platform, Operations, and AI teams Lead RFP/RFI/RFQ and pre-sales solutioning, including technical discovery, solution architecture, transformation approach, estimations, staffing models, implementation roadmaps, assumptions, risks, dependencies, TCO considerations, and technical proposal development Engage with senior customer and executive stakeholders, conduct architecture workshops and solution defenses, and collaborate with Sales, Pre-Sales, Delivery, Engineering, Practice, and Commercial teams to develop technically viable and competitive solutions Requirements 18-25 years of overall IT experience with significant experience in Enterprise/Solution Architecture, Cloud, SRE, DevOps, Platform Engineering, IT Operations, Automation, or AIOps Extensive experience architecting large-scale AIOps and intelligent operations platforms, including observability, anomaly detection, event correlation, noise reduction, service-impact analysis, AI-assisted RCA, remediation, and operational automation Expertise in at least one major cloud platform – AWS, Microsoft Azure, or Google Cloud, including enterprise cloud architecture, security, identity, networking, governance, resilience, and scalability Hands-on architecture experience with at least one Agentic AI ecosystem such as Amazon Bedrock/AgentCore, Microsoft Foundry/Azure OpenAI, or Gemini/Vertex AI Agent Engine/Google ADK Understanding of Agentic AI architectures including reasoning, planning, tool/function calling, RAG/knowledge grounding, context and memory, multi-agent orchestration, agent evaluation, Human-in-the-Loop, guardrails, and policy enforcement Experience designing autonomous/self-healing operations, event-driven remediation, workflow orchestration, ITSM integration, operational governance, and secure interaction between AI agents and enterprise systems Proficiency in Python for Agentic AI solutions, APIs, integrations, automation, telemetry processing, orchestration, and rapid prototyping Experience in RFP/RFI solutioning, pre-sales architecture, technical proposals, estimations, solution defense, executive stakeholder management, and technical leadership across large enterprise transformation programs Nice to have Experience across more than one major cloud platform and familiarity with enterprise observability platforms such as Splunk, Dynatrace, Datadog, Grafana, Prometheus, or Elastic Familiarity with LangGraph, Semantic Kernel, Strands Agents, Google ADK, MCP, A2A, RAG, vector databases, or knowledge graphs Exposure to SRE, FinOps, cloud economics, capacity optimization, predictive operations, and managed-services solutioning Relevant Cloud Architect, AI, Enterprise Architecture, SRE, ITIL, or TOGAF certifications