Senior Infrastructure Architect AI-Enabled Hybrid Cloud

Role & responsibilities

Seeking a seasoned, Senior Infrastructure Architect to define, govern, and evolve a large-scale infrastructure estate supporting more than 1,500 compute instances across distributed cloud, on-premises, and hybrid IT environments. The architect will provide end-to-end technical leadership across compute, storage, backup, networking, security, observability, automation, and resilience. The role requires deep expertise in multi-homed network design and enterprise security frameworks. Demonstrable experience in AIOps to improve operational efficiency, service reliability, automate risk management and derive predictable business outcomes.

Required Qualifications

• 15+ years of progressive experience in infrastructure architecture, engineering, transformation and operations, including responsibility for complex enterprise environments.
• Proven experience architecting and governing estates of 1,500+ compute instances across data centers, public cloud, private cloud, edge and hybrid platforms.
• Expert-level knowledge of hypervisors, virtualization, container platforms, storage, backup and recovery, networking, identity, security, observability, and disaster recovery and business continuity.
• Strong hands-on architecture experience with at least two major public cloud platforms, preferably Microsoft Azure and AWS, including landing zones, connectivity, security controls, governance and cost management.
• Demonstrated expertise in multi-homed networking, routing, segmentation, firewalls, load balancing, DNS, SD-WAN, zero-trust design, and secure connectivity between cloud and on-premises environments.
• At least 3 years of experience with AI technologies, including 2+ years applying AIOps, machine learning, or intelligent automation in production infrastructure operations.
• Demonstrable experience modernizing NOC, SOC, TOC, or command-center operations through event correlation, anomaly detection, predictive analytics, automated remediation and operational copilots.
• Strong understanding of enterprise architecture principles, security frameworks, regulatory controls, risk management, and architecture governance.
• Experience leading architecture reviews, technical due diligence, platform standards, lifecycle roadmaps, and major transformation programs.
• Excellent executive communication, stakeholder management, facilitation and technical documentation skills.

Key Responsibilities

• Own the target-state architecture and multi-year modernization roadmap for enterprise infrastructure across data center, cloud, edge and hybrid IT environments.
• Define reference architectures, guardrails, design patterns, and technology standards for compute, storage, backup, network, identity, security, monitoring, and automation.
• Review and approve high-level and low-level designs, exceptions, implementation plans, migration waves, and production-readiness criteria.
• Partner with security teams to embed zero-trust principles, privileged-access controls, segmentation, encryption, vulnerability management, and policy compliance into platform designs.
• Guide engineering and operations teams during major incidents, recurring problem investigations, capacity events, security events, and complex performance issues.
• Evaluate vendors and emerging technologies, conduct proofs of concept, support commercial evaluations, and present recommendations to senior leadership.

AI, AIOps, and Intelligent Automation Responsibilities

• Define the AI-enabled infrastructure operations strategy, use-case portfolio, reference architecture, governance model, and adoption roadmap.
• Design solutions for alert noise reduction, event correlation, anomaly detection, predictive capacity management, incident summarization, probable-cause analysis, and automated remediation.
• Integrate telemetry from infrastructure, applications, networks, security platforms, service management tools, and cloud-native services into unified operational intelligence workflows.
• Develop patterns for AI-assisted NOC, SOC, and TOC operations, including human-in-the-loop approvals, escalation controls, auditability, rollback, and measurable service outcomes.
• Apply generative AI and retrieval-augmented generation to operational knowledge, runbooks, architecture repositories, configuration data, and incident history while protecting sensitive information.
• Establish responsible AI controls covering data quality, privacy, security, access, expla…