Lenovo is seeking an AIOps Architect to design and guide the development of next-generation intelligent operations platforms to solve complex IT operations challenges.
Requirements
- 8+ years of experience in IT architecture, DevOps/SRE systems, or enterprise cloud platforms, with at least 3 years focused on AIOps or observability systems.
- Deep hands-on experience with observability tools (e.g., Prometheus, Grafana, OpenTelemetry), ML-based correlation engines, and ITSM systems.
- Familiarity with intelligent agent development (LangChain, Dify, LLMOps toolchains) and integration into operations workflows.
- Strong knowledge of infrastructure automation, CMDB modeling, and cloud-native architecture (Kubernetes, microservices, event buses).
- Proficiency in designing scalable data pipelines, real-time analytics, and AI-driven recommendation engines.
- Understanding of security, compliance, and data governance implications for AIOps platforms.
- Evaluate and select technologies and architectural patterns aligned with performance, resilience, and security requirements.
Responsibilities
- Lead the end-to-end technical architecture of AIOps platform, covering:
- Observability Stack – ingestion and normalization of logs, metrics, traces, events across multi-cloud and on-prem systems.
- Event Correlation & Noise Reduction – design of AI/ML-driven correlation engines, pattern recognition models, and alert suppression logic.
- ITSM Integration – architecture for bidirectional flows with incident/change/problem management systems (e.g., ServiceNow, Jira Service Management).
- CMDB & Topology Mapping – automated discovery pipelines and dynamic service graph construction.
- Operations Copilot (AI Agent) – design agent-based interfaces using frameworks like LangChain, Dify to assist engineers in root cause analysis, diagnostics, and resolution.
- Automation Framework – integration with runbook engines (e.g., StackStorm, Rundeck, Ansible) for closed-loop remediation.
Other
- Provide technical leadership to engineering teams during design, development, and rollout of AIOps features.
- Collaborate with product managers, data scientists, SREs, and platform teams to convert business requirements into system-level blueprints.
- Contribute to architectural governance, design reviews, and standardization of reusable components.
- Benchmark against leading AIOps solutions in the market (e.g., Dynatrace, Moogsoft, Instana, IBM Watson AIOps).
- Excellent communication and documentation skills with ability to lead architectural decisions across global teams.
