Hybrid Cloud AIOps architect

Hybrid Cloud AIOps architect

General Information

Req #

WD00087702

Career area : Hardware Engineering

Country / Region :

United States of America

State : North Carolina

City : Morrisville

Date :

Thursday, September 18, 2025

Working time : Full-time

Additional Locations :

• United States of America - North Carolina - Morrisville

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE : 992) (ADR : LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via ourStoryHub () .

Description and Requirements

Job Summary

We are seeking a seasoned and visionary AIOps Architect to design and guide the development of next-generation intelligent operations platforms. The ideal candidate has deep technical expertise in observability, incident automation, IT service management, and AI / ML model integration, with proven experience architecting scalable AIOps systems in enterprise or hybrid cloud environments.

Key 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.

AI / ML Engine – orchestration of model lifecycle (training, deployment, feedback loops) for anomaly detection, forecasting, and scoring.

Smart Dashboard & Analytics – scalable and real-time visualization architecture, including GPU / AI workload insights.

Evaluate and select technologies and architectural patterns aligned with performance, resilience, and security requirements.

Collaborate with product managers, data scientists, SREs, and platform teams to convert business requirements into system-level blueprints.

Provide technical leadership to engineering teams during design, development, and rollout of AIOps features.

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).

Basic Qualifications :

Preferred Qualifications :

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.

Excellent communication and documentation skills with ability to lead architectural decisions across global teams.

Lenovo’s various benefits can be found on www.lenovobenefits.com.

In compliance with Colorado's EPEWA, the expected application deadline for this position is November 27, 2025. This applies to both external and internal candidates.

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We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations :

United States of America - North Carolina - Morrisville

United States of America

United States of America - North Carolina

United States of America - North Carolina - Morrisville