Hybrid Cloud Global Business development

Description and Requirements 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.