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Principal AIOps Architect Cloud & Agentic AI

EPAM Systems


Job Location:

Gurgaon - India

Monthly Salary: Not provided by the employer
Posted: 17 October 2026 (21 hours ago)
Application Deadline: 14 January 2027
Vacancies: 1 Vacancy

Job Summary

Were looking for a Principal AIOps Architect to spearhead large-scale AIOps Intelligent Operations and Agentic AI transformation efforts shaping architecture strategy for cloud automation and AI-powered operational intelligence platforms across 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
  • Build 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-driven RCA
  • Create 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 checks 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 non-functional requirements security resilience scalability operational governance and technical leadership spanning Cloud SRE DevOps Platform Operations and AI teams
  • Drive RFP/RFI/RFQ and pre-sales solutioning efforts covering technical discovery solution architecture transformation approach estimations staffing models implementation roadmaps assumptions risks dependencies TCO considerations and technical 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 total 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
  • 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 multi-agent orchestration agent evaluation Human-in-the-Loop 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 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 management and technical leadership across large enterprise transformation programs
Nice to have
  • Exposure to 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

Required Experience:

Manager