Lenovo

Job Responsibilities

Solution Architecture & Pre-Sales

• Lead end-to-end solution architecture and pre-sales for Cloud Management, AIOps, FinOps, and AI platform solutions.
• Conduct customer discovery to assess cloud operations, monitoring maturity, AI readiness, and business challenges.
• Translate requirements into scalable architectures, solution blueprints, proposals, demos, and executive presentations.
• Articulate measurable business value, including SLA improvement, MTTR reduction, productivity gains, infrastructure efficiency, and cost optimization.

Cloud Management & AI-Native Operations

• Design integrated platforms covering observability, event correlation, anomaly detection, root cause analysis, automation, ITSM, and CMDB.
• Architect closed-loop operations from monitoring and AI analysis through automated remediation and continuous optimization.
• Enable L2/L3 autonomous operations using AI agents, multi-agent workflows, and human-in-the-loop controls.
• Support private, hybrid, and multi-cloud environments with consistent governance and operational standards.

AI Platform & Model Operations

• Design enterprise AI platforms supporting model onboarding, deployment, serving, monitoring, evaluation, versioning, and governance.
• Develop MLOps and LLMOps architectures for traditional AI models, foundation models, generative AI applications, and AI agents.
• Define model observability across quality, drift, hallucination, latency, throughput, token usage, inference cost, and GPU utilization.
• Design AI gateways, model routing, inference optimization, and scalable model-serving architectures.
• Integrate AI platforms with cloud infrastructure, data platforms, observability tools, ITSM, and enterprise workflows.

FinOps & AI Cost Optimization

• Design FinOps frameworks for cost visibility, allocation, forecasting, budget governance, and continuous optimization.
• Optimize cloud and AI workload costs through rightsizing, workload placement, GPU utilization, token management, and inference efficiency.
• Balance model quality, performance, availability, and cost.

Automation & Integration

• Design orchestration, runbooks, event-driven workflows, and AI-driven automation.
• Integrate monitoring, ITSM, CMDB, cloud, Kubernetes, infrastructure, AI, data, and security platforms.
• Ensure reliable data flows, reusable integration patterns, governance controls, and operational scalability.

Cross-Functional Collaboration

• Partner with product, engineering, sales, and delivery teams to shape product roadmaps and customer solutions.
• Support opportunities from discovery and solution design through proposal, proof of concept, deployment, and value realization.
• Build reusable solution assets, reference architectures, demos, and best practices.

Job Requirements

• 8+ years of experience in Cloud Operations, AIOps, SRE, IT Operations Transformation, AI Platforms, or solution architecture.
• Strong customer-facing pre-sales, consulting, and solution design experience.
• Strong knowledge of observability, event management, ITSM, CMDB, automation, and hybrid or multi-cloud architectures.
• Experience with AIOps, intelligent automation, or autonomous operations solutions.
• Understanding of AI platforms, MLOps, LLMOps, model serving, model monitoring, AI agents, and generative AI.
• Familiarity with GPU infrastructure, Kubernetes, inference platforms, and AI workload optimization.
• Knowledge of FinOps, cloud cost management, and AI cost optimization.
• Ability to connect technical solutions to measurable business outcomes.
• Strong communication, presentation, and executive stakeholder management skills.