Principal AIOps Architect - Cloud & Agentic AI

We are looking for a Principal AIOps Architect to spearhead large-scale AIOps, Intelligent Operations, and Agentic AI transformation efforts, shaping architectural direction across cloud, automation, and AI-powered operational intelligence platforms for major enterprise initiatives. Responsibilities Direct large-scale AIOps, Intelligent Operations, Agentic AI, and automation transformation programs by establishing target-state architecture, modernization roadmaps, governance frameworks, and reusable solution patterns Design observability and operational intelligence solutions spanning metrics, logs, traces, events, topology, service dependencies, incidents, deployments, and configuration changes to support anomaly detection, event correlation, service-impact analysis, and AI-assisted root cause analysis Build Agentic AI solutions for IT Operations leveraging Amazon Bedrock/AgentCore, Microsoft Foundry/Azure OpenAI, or Gemini/Vertex AI Agent Engine to support reasoning, knowledge retrieval, tool invocation, multi-step investigation, recommendations, and operational decision-making Develop autonomous and semi-autonomous remediation solutions incorporating policy controls, identity and access verification, risk assessment, Human-in-the-Loop approvals, rollback, recovery validation, auditability, and feedback loops Connect AIOps platforms with ITSM/CMDB, observability, CI/CD, cloud-management, knowledge, security, automation platforms, and enterprise APIs, including ServiceNow or similar tools Oversee enterprise architecture reviews, solution assurance, design authority decisions, non-functional requirements, security, resilience, scalability, operational governance, and technical leadership across Cloud, SRE, DevOps, Platform, Operations, and AI teams Head RFP/RFI/RFQ efforts and pre-sales solutioning, covering technical discovery, solution architecture, transformation strategy, estimations, staffing models, implementation roadmaps, assumptions, risks, dependencies, TCO analysis, and technical proposal creation Interact with senior customer and executive stakeholders, run architecture workshops and solution defenses, and partner with Sales, Pre-Sales, Delivery, Engineering, Practice, and Commercial teams to craft technically sound and competitive solutions Requirements 18-25 years of overall IT experience, with substantial background in Enterprise/Solution Architecture, Cloud, SRE, DevOps, Platform Engineering, IT Operations, Automation, or AIOps Deep experience building large-scale AIOps and intelligent operations platforms, covering observability, anomaly detection, event correlation, noise reduction, service-impact analysis, AI-assisted RCA, remediation, and operational automation Strong command of at least one major cloud platform (AWS, Microsoft Azure, or Google Cloud), including enterprise cloud architecture, security, identity, networking, governance, resilience, and scalability Direct 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 Solid grasp 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 processes, guardrails, and policy enforcement Background in designing autonomous/self-healing operations, event-driven remediation, workflow orchestration, ITSM integration, operational governance, and secure interactions between AI agents and enterprise systems Strong Python skills for building Agentic AI solutions, APIs, integrations, automation, telemetry processing, orchestration, and rapid prototyping Track record in RFP/RFI solutioning, pre-sales architecture, technical proposal development, estimations, solution defense, executive stakeholder engagement, and technical leadership across large enterprise transformation programs Nice to have Exposure to multiple major cloud platforms along with familiarity with enterprise observability tools such as Splunk, Dynatrace, Datadog, Grafana, Prometheus, or Elastic Working knowledge of LangGraph, Semantic Kernel, Strands Agents, Google ADK, MCP, A2A, RAG, vector databases, or knowledge graphs Experience with SRE, FinOps, cloud economics, capacity optimization, predictive operations, and managed-services solutioning Relevant certifications in Cloud Architecture, AI, Enterprise Architecture, SRE, ITIL, or TOGAF