Customer Solutions Architect

Role overview A customer-facing architect role helping enterprise clients adopt an AI-driven IT operations and predictive reliability platform. The position bridges pre-sales scoping and post-deployment solution design, working with customers to translate operational pain points into technical configurations that predict, diagnose and remediate incidents before they escalate.

Responsibilities - Lead discovery sessions with customers to scope requirements and define success criteria for IT operations and reliability use cases - Design end-to-end solutions spanning ingestion of logs, metrics and traces, anomaly detection, root cause analysis and automated remediation - Architect integrations with third-party observability suites and open source monitoring tools - Guide customers through proof-of-value work, including data onboarding, model configuration and operational rollout - Act as a technical liaison between customer engineering teams and internal product and engineering groups - Document reference architectures and reusable deployment patterns for the field

Requirements - Significant experience in solutions architecture, technical consulting or pre-sales engineering for enterprise software - Strong working knowledge of IT operations, observability platforms and incident management workflows - Familiarity with machine learning concepts applied to operational data, such as anomaly detection and pattern recognition - Ability to lead technical workshops and translate complex platform behaviour into customer-ready narratives - Hands-on experience with data pipelines, APIs and cloud infrastructure

Nice to have - Background working with unsupervised learning systems or AI reliability tooling - Experience integrating SaaS platforms with monitoring ecosystems such as OpenTelemetry, Prometheus, Grafana, Datadog or Splunk