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# AIOps & Agentic AI Architect

- **Company:** Capgemini
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $101,140.0 - $182,624.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Noise Reduction, Information Technology Operations, Python (Programming Language), Automation of Marketing, Microsoft Dynamics, Routing, Oracle (Applications), Windows PowerShell, Runbook, SAP (Applications), Shell Script, Systems Integration, AI Infrastructure, Datadog, Enterprise Software Applications, Agentic-AI, Data Layers, Kubernetes, Information Technology, Enterprise Integration, ArcSight Event Correlation, Splunk, AIOps, Appdynamics, Dynatrace, Servicenow
- **Published:** October 23, 2026
- **Apply:** https://www.capgemini.com/jobs/581537-en_US_SAPBTP/x/

## About the Role

* 10+ years of relevant IT experience, with strong solution architecture exposure across application support/AMS, managed services, IT operations, automation, or transformation.
 * Strong hands-on expertise in Agentic AI and GenAI architectures, including AI agents, orchestration, knowledge/semantic layers, enterprise integrations, and agentic workflows.
 * Experience designing or integrating AIOps and observability solutions using platforms such as Splunk ITSI, Dynatrace, AppDynamics, Elastic/ELK, Datadog, or similar tools.
 * Strong understanding of ITIL/ITSM processes, including Incident, Problem, Change, Service Request, and Event Management, with experience integrating monitoring/automation platforms with ServiceNow or comparable ITSM tools.
 * Experience designing automation, orchestration, runbook, and self-healing solutions, along with working knowledge of Python, PowerShell, shell scripting, APIs, or related technologies.
 * Experience with a major ERP platform such as SAP, Oracle, or Microsoft Dynamics, demonstrating an understanding of enterprise applications and service-delivery processes.
 * Proven experience creating and adapting solution architectures, HLDs/LLDs, integration designs, and customer-specific architecture diagrams.
 * Strong customer-facing experience presenting and defending technical solutions with enterprise architects and Architecture Review Boards, with exposure to RFPs, presales solutioning, POVs, or technical demonstrations

## Description

We are seeking an experienced AIOps & Agentic AI Solution Architect to design and enable enterprise-scale Agentic AI, AIOps, observability, and intelligent automation solutions. This is a hands-on architecture role requiring strong technical depth across Agentic AI systems, IT operations, ITSM/ITIL processes, automation, and enterprise applications.

The architect will translate platform capabilities into customer-specific solutions, develop and adapt solution architectures, support RFPs and solutioning, and engage with customer architects and Architecture Review Boards. The role requires someone who can move beyond conceptual AI discussions and demonstrate practical experience designing, integrating, and operationalizing Agentic AI and AIOps solutions.

Your role

 * Architect end-to-end Agentic AI solutions, including data, semantic/knowledge, agent, orchestration, control, integration, and user-interaction layers.
 * Design and integrate AI agents and GenAI assistants to support IT operations and application managed services use cases such as incident triage, ticket summarization, knowledge assistance, service-request automation, and runbook execution.
 * Develop AIOps and observability architectures encompassing telemetry ingestion, logs, metrics, traces, event correlation, noise reduction, anomaly detection, root-cause analysis, and actionable alerting.
 * Design integrations between monitoring/AIOps platforms and ITSM solutions such as ServiceNow, enabling automated ticket creation, routing, workflow integration, and remediation.
 * Design runbook automation, orchestration, and self-healing solutions triggered by operational events and governed through ITIL processes.
 * Create and customize HLDs, LLDs, architecture diagrams, integration designs, and deployment models based on customer technology and solution requirements.
 * Adapt reference architectures to customer environments, including alternative cloud, infrastructure, container, and Kubernetes requirements.
 * Define operational dashboards, KPIs, SLAs, and measurement frameworks to demonstrate automation, productivity, and service-management outcomes.
 * Lead technical discussions and defend solution architectures with customer architects and Architecture Review Boards, translating complex architectures into clear technical recommendations.
 * Support RFPs, proposals, and presales solutioning, including architecture, scope, technology strategy, transformation roadmap, estimates, delivery approach, and value proposition.
 * Develop technical POVs, demonstrations, and solution concepts to demonstrate Agentic AI and AIOps capabilities to customers.
 * Provide architectural direction to distributed implementation teams and ensure solutions are aligned with approved designs and technical standards.