Key skills
JavaScriptAIMLLLMRAGAgenticAnalyticsAWSAzureGCPTerraformKubernetesDockerJenkinsAnsibleHelmElasticsearchPrometheusGrafanaDatadogNew RelicSplunkOpenTelemetryDynatraceAppDynamicsLogstashKibanaREST APIServiceNowCI/CDSales
About this role
Area(s) of responsibility
Role Summary
As Senior Solution Architect for AIOps, Observability, and Agentic AI, you will be the technical anchor for client pursuits across our IT Operations transformation portfolio. You will partner with sales, bid management, and delivery teams to translate client pain points into outcome-driven solutions — architecting AIOps and observability landscapes, embedding Agentic AI into IT operations, and owning the technical solution from RFP response through to delivery handover.
Required Skills & Experience
ITSM, ITOps & Platforms (mandatory)
- 12–15 years in IT across design, engineering, implementation, and pre-sales — with 3+ years in pre-sales/solutioning of AIOps use cases for enterprise/global clients.
- Strong understanding of IT operations, infrastructure management, and application performance monitoring; sound ITIL foundations.
- Hands-on experience with ITSM tooling (ServiceNow preferred) and across enterprise AIOps platforms — Aisera, Moogsoft, BigPanda, ServiceNow ITOM/AIOps, HPE OpsRamp, ScienceLogic.
- Scripting (JavaScript or similar), low-code/no-code platforms, and hands-on REST API integration and automation workflow experience.
Observability, Cloud & DevOps
- Expertise integrating and leveraging data from monitoring/logging/alerting tools — Datadog, Prometheus, Grafana, ELK (Elasticsearch/Logstash/Kibana), Splunk, Nagios, Dynatrace, AppDynamics, New Relic, OpenTelemetry.
- Extensive hands-on experience with at least one major cloud — AWS, Azure, or GCP; working knowledge of containers (Docker, Kubernetes).
- DevOps & SRE practices and tooling — Ansible, Terraform, Jenkins, Helm, CI/CD pipelines.
AI / ML / Agentic AI
- Understanding of ML for IT Operations — anomaly detection, predictive analytics, event correlation, and automated root-cause analysis.
- Generative & Agentic AI fluency: LLMs, embeddings, RAG, prompt engineering, multi-agent/agent-orchestration, and LLM-powered automation (AI workflows / function-calling).
- Knowledge of RPA/Intelligent Automation (UiPath, Automation Anywhere, Blue Prism) is a plus.
Pre-Sales & Consulting Skills (high weightage)
- Proven RFP/proposal ownership, effort estimation, and pricing/benchmarking for large global deals in IT sourcing.
- Ability to drive client and multi-stakeholder discussions, handle objections, and propose workaround solutions.