Principal AIOps Architect - Cloud & Agentic AI

EPAM Systems; Hyderabad; On-site; INR 6,000,000 - 12,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

CSR/learning opportunities

Tech talks & hackathons

Job summary

EPAM Systems in Hyderabad seeks a Principal AIOps Architect to lead large-scale AIOps and automation programs. You will shape target-state architecture across cloud, automation, and AI-powered platforms for major enterprise initiatives.

The role requires deep experience in Agentic AI ecosystems, observability, and IT operations, with strong stakeholder engagement and pre-sales support. Hybrid work model offered in India.

Qualifications

• Extensive experience in building large-scale AIOps and intelligent operations platforms.
• Strong cloud architecture, security, identity, networking, and governance knowledge.
• Proven ability to drive RFP/RFI solutioning and executive stakeholder engagement.

Responsibilities

• Lead large-scale AIOps, Intelligent Operations and automation transformation programs.
• Design observability and operational intelligence solutions spanning metrics, logs, traces, events, topology, and dependencies.
• Oversee architecture reviews, governance, and non-functional requirements for enterprise programs.
• Interact with senior stakeholders to craft technically sound proposals and roadmaps.

Skills

AIOps

Cloud architecture

DevOps

SRE

Platform engineering

Observability

Agentic AI

Python

Pre-sales architecture

RFP/RFI solutioning

Tools

Splunk

Dynatrace

Datadog

Grafana

Prometheus

Elasticsearch

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.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.ResponsibilitiesDirect large-scale AIOps, Intelligent Operations, Agentic AI, and automation transformation programs by establishing target-state architecture, modernization roadmaps, governance frameworks, and reusable solution patternsDesign 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 analysisBuild 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-makingDevelop 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 loopsConnect AIOps platforms with ITSM/CMDB, observability, CI/CD, cloud-management, knowledge, security, automation platforms, and enterprise APIs, including ServiceNow or similar toolsOversee 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 teamsHead 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 creationInteract 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 solutionsRequirements18-25 years of overall IT experience, with substantial background in Enterprise/Solution Architecture, Cloud, SRE, DevOps, Platform Engineering, IT Operations, Automation, or AIOpsDeep 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 automationStrong command of at least one major cloud platform (AWS, Microsoft Azure, or Google Cloud), including enterprise cloud architecture, security, identity, networking, governance, resilience, and scalabilityDirect 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 ADKSolid 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 enforcementBackground in designing autonomous/self-healing operations, event-driven remediation, workflow orchestration, ITSM integration, operational governance, and secure interactions between AI agents and enterprise systemsStrong Python skills for building Agentic AI solutions, APIs, integrations, automation, telemetry processing, orchestration, and rapid prototypingTrack record in RFP/RFI solutioning, pre-sales architecture, technical proposal development, estimations, solution defense, executive stakeholder engagement, and technical leadership across large enterprise transformation programsNice to haveExposure to multiple major cloud platforms along with familiarity with enterprise observability tools such as Splunk, Dynatrace, Datadog, Grafana, Prometheus, or ElasticWorking knowledge of LangGraph, Semantic Kernel, Strands Agents, Google ADK, MCP, A2A, RAG, vector databases, or knowledge graphsExperience with SRE, FinOps, cloud economics, capacity optimization, predictive operations, and managed-services solutioningRelevant certifications in Cloud Architecture, AI, Enterprise Architecture, SRE, ITIL, or TOGAFWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)