AI Ops Senior Technical ArchitectLocation: Richardson, TX – Onsite – Candidate should go to the office 3 days a week Full-time / Contract Role Summary Lead the architecture, design, and delivery of the AIOps platform across observability, automation, self-healing, event intelligence, and AI driven operations. Guide engineering teams, drive reliability and SLO strategies, and architect scalable multi-cloud AIOps solutions for enterprise systems.
Key Responsibilities Define AIOps architecture roadmap covering telemetry, analytics, automation, and AI/ML adoption. Architect scalable observability platforms (Open Telemetry, Prometheus/Grafana, ELK/Loki, Jaeger/Tempo). Lead design and implementation of event correlation, anomaly detection, RCA accelerators, and noise reduction. Architect auto remediation workflows, Cha tops automations, and integration with ITSM (ServiceNow/JSM). Integrate with APM tools (Datadog, Dynatrace, Splunk, New Relic, AppDynamics) to build unified AIOps pipelines. Drive SLO/SLI frameworks, error budgets, and reliability engineering across services. Own multi-cloud architecture (AWS/Azure/GCP), Kubernetes platform patterns, and IaC standards. Ensure security, compliance, IAM, data governance, and high availability architecture for AIOps components. Mentor engineers, review designs, lead incident reviews, and ensure platform scalability and cost efficiency. Required Skills AIOps Observability Deep expertise in Open Telemetry, distributed tracing, metrics/logs pipelines. Strong understanding of AIOps signals: anomaly detection, pattern mining, event correlation. Architecture Distributed systems, microservices, API design, high availability, and performance engineering.
Experience designing real-time streaming pipelines using Kafka/Kinesis/Event Hub. APM Monitoring Tools Hands on with Datadog / Dynatrace / Splunk / New Relic / AppDynamics / Moogsoft / BigPanda. Automation Self-healing Python/Go automation, serverless, runbooks, workflow engines (Airflow/Temporal), ChatOps bots. Cloud Platform AWS/Azure/GCP architecture, Kubernetes (EKS/AKS/GKE), Terraform, GitOps, CI/CD. Security Governance Strong grounding in RBAC, IAM/KMS, encryption, auditability, compliance (SOC2/ISO).
Experience 10-15 years in engineering with 5+ years in SRE/Platform/Observability/AIOps architecture. Proven track record designing delivering enterprise scale AIOps or Observability platforms.