Multi-Tower Solutions Architect – AI

About MicrolandMicroland accelerates digital transformation for enterprises by making technology do more and intrude less. We help organizations transition from reactive to autonomous operations through deep expertise in Cloud, Network, Digital Workplace, Cybersecurity, and Datacenters—powered by AI, cognitive platforms, and intelligent automation.Role DescriptionWe are seeking an accomplished Multi-Tower Solutions Architect - AI & Autonomous Operations with strong, hands-on experience in Artificial Intelligence and Cognitive Automation.This is a senior strategic solutioning role that requires the ability to architect enterprise-scale, AI-first transformation solutions across multiple IT service domains. The ideal candidate will bring deep AI/ML expertise, enterprise architecture exposure, and the ability to design intelligent, self-healing, and autonomous operations.Exposure to IT Infrastructure services (e.g., cloud, network, workplace, service desk, security) is a strong plus, enabling tighter integration of AI with foundational technology layers.Key ResponsibilitiesEnterprise Solution Architecture & Design- Lead the end-to-end enterprise architecture and solutioning for multi-tower transformation programs spanning Cloud, Network, Digital Workplace, Service Desk, Security, and other core IT domains. - Design scalable architectures that seamlessly embed AI, ML, and AIOps capabilities into enterprise environments. - Translate complex business requirements into AI- and tool-enabled architecture blueprints aligned with customer transformation goals. - Ensure interoperability, resilience, and governance across multiple domains, tools, and platforms.AI, Automation & Tool Strategy- Drive the AI-first, platform led architecture strategy, applying Cognitive AI, ML models, and agentic frameworks to deliver autonomous operations at enterprise scale. - Architect solutions leveraging platforms such as ServiceNow, Moogsoft, Dynatrace, Splunk, BMC Helix, and automation frameworks like UiPath and Automation Anywhere. - Define reusable AI solution blueprints, integration patterns, and accelerators for predictive and self-healing operations. - Align AI and automation architectures with enterprise standards, governance, and compliance requirements.Pre-Sales & Customer Engagement- Partner with pursuit and sales teams to build AI-led transformation narratives for large and complex deals. - Conduct workshops, solution walkthroughs, and PoCs to demonstrate tangible AI and automation value. - Engage confidently with CXO-level stakeholders, linking solution architecture to measurable business outcomesInnovation & Governance- Continuously assess and adopt emerging AI/ML models, LLMs, agentic frameworks, and AIOps tools to evolve Microland’s Multi-Tower Autonomous Operations stack. - Define solution standards, governance models, and integration guardrails to ensure consistency across domains. - Contribute to the creation of AI accelerators, reference architectures, and enterprise transformation playbooks.Required Skills & Experience- AI & Cognitive Expertise (Mandatory) - Strong, hands-on experience in Artificial Intelligence, Cognitive Automation, and Machine Learning. - Proven track record of designing and deploying AI/ML solutions that drive predictive, preventive, and autonomous IT operations. - Experience with LLMs, agentic AI architectures, and intelligent automation strategies at scale. - Ability to integrate AI with complex enterprise IT ecosystems.Enterprise Architecture Exposure- 20+ years of overall IT experience with at least 5 years in solution architecture and enterprise-scale design. - Strong understanding of how multiple IT service domains integrate into a unified enterprise architecture. - Ability to define architecture guardrails, governance models, and interoperability frameworks.Tool & Platform Expertise- Hands-on with automation frameworks such as UiPath or Automation Anywhere or solutioning exposure to platforms like ServiceNow, Dynatrace, Moogsoft, Splunk, BMC Helix is desired - Experience in integrating and orchestrating multiple tools to build cohesive enterprise automation platforms.IT Infrastructure Exposure (Preferred)- Experience or exposure to infrastructure domains such as Cloud, Network, Workplace, Service Desk, and Security. - Ability to map AI-driven solutions onto existing infrastructure landscapes for end-to-end transformation.