Principal AIOps Architect - Cloud & Agentic AI

We are looking for aPrincipal AIOps Architect to spearhead large-scale AIOps, Intelligent Operations, and Agentic AI transformation efforts, guiding architectural direction for cloud, automation, and AI-powered operational intelligence platforms within major enterprise programs.

Responsibilities

• Direct enterprise-scale AIOps, Intelligent Operations, Agentic AI, and automation transformation initiatives 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 capability, recovery validation, auditability, and feedback loops
• Connect AIOps platforms with ITSM/CMDB, observability tools, CI/CD pipelines, cloud-management systems, knowledge bases, security platforms, automation tools, and enterprise APIs, including ServiceNow or similar solutions
• Oversee enterprise architecture reviews, solution assurance, design authority decisions, non-functional requirements, security, resilience, scalability, operational governance, and technical leadership spanning Cloud, SRE, DevOps, Platform, Operations, and AI teams
• Drive RFP/RFI/RFQ processes and pre-sales solutioning, encompassing technical discovery, solution architecture, transformation strategy, estimations, staffing models, implementation roadmaps, assumptions, risks, dependencies, TCO analysis, and proposal development
• Partner with senior customer and executive stakeholders, lead architecture workshops and solution defenses, and work alongside 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
• Mastery of at least one major cloud platform—AWS, Microsoft Azure, or Google Cloud—including enterprise cloud architecture, security, identity, networking, governance, resilience, and scalability
• Practical 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 management, 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 proposals, estimations, solution defense, executive stakeholder engagement, and technical leadership across large enterprise transformation programs

Nice to have

• Experience with multiple major cloud platforms and familiarity with enterprise observability tools such as Splunk, Dynatrace, Datadog, Grafana, Prometheus, or Elastic
• Knowledge of LangGraph, Semantic Kernel, Strands Agents, Google ADK, MCP, A2A, RAG, vector databases, or knowledge graphs
• Background in SRE, FinOps, cloud economics, capacity optimization, predictive operations, and managed-services solutioning
• Relevant certifications in Cloud Architecture, AI, Enterprise Architecture, SRE, ITIL, or TOGAF