• Deliver architecture designs and professional services to Cohesity customer • Lead customer transition initiatives from assessment through deployment completion, serving as technical authority for migration strategy, workload prioritization and execution planning. • Identify technical, operational, security, and business risks and establish transition plans prior to implementation. • Act as a trusted advisor to customer architects, infrastructure teams, and executive stakeholders. • Review and approve design deviations, implementation decisions and deployment readiness milestones. • Build strategic relationships with key customers and Cohesity teams. • Collaborate with Cohesity’s product solutions, product management and engineering teams to bridge the gap between technology capabilities and customer requirements. • Present architecture recommendations, deployment strategies, and technical risks to executive and technical stakeholders. • Engage directly with customers to understand their organization needs and identify how Cohesity’s product features can best support their objectives. • Develop detailed solution designs including architecture diagrams, sizing specifications, integration requirements, and risk assessments. • Provide field feedback to Product Management and Engineering teams regarding deployment challenges, feature gaps, automation opportunities, and customer requirements. • Define technical architecture including sizing and performance that meet customer requirements. • Work with others to develop post-deployment documentation (run books, pre-deployment templates, etc.) • Provide feedback to Implement Engineers, Systems Engineers, and engineering on ways to improve the overall experience. • Continually improve deliverables as we scale and release new features/products. • Inspect deliverables for success and improvements.

• Deliver architecture designs and professional services to Cohesity customers • Lead customer transition initiatives from assessment through deployment completion, serving as technical authority for migration strategy, workload prioritization and execution planning. • Identify technical, operational, security, and business risks and establish transition plans prior to implementation. • Act as a trusted advisor to customer architects, infrastructure teams, and executive stakeholders. • Review and approve design deviations, implementation decisions, and deployment readiness milestones. • Build strategic relationships with key customers and Cohesity teams. • Collaborate with Cohesity’s product solutions, product management and engineering teams to bridge the gap between technology capabilities and customer requirements. • Present architecture recommendations, deployment strategies, and technical risks to executive and technical stakeholders. • Engage directly with customers to understand their organization needs and identify how Cohesity’s product features can best support their objectives. • Develop detailed solution designs including architecture diagrams, sizing specifications, integration requirements, and risk assessments. • Engage directly with customers to understand their organizational needs and identify how Cohesity's product features can best support their objectives. • Provide field feedback to Product Management and Engineering teams regarding deployment challenges, feature gaps, automation opportunities, and customer requirements. • Define technical architecture including sizing and performance that meet customer requirements. • Engage with teams to ensure Deployment Designs are successfully deployed. • Develop best practices for the deployment designs that translate to project plans. • Continually improve deliverables as we scale and release new features/products. • Inspect deliverables for success and improvements. • Work with others to develop post-deployment documentation (run books, pre-deployment templates, etc.). • Provide feedback to Implement Engineers, Systems Engineers, and engineering on ways to improve the overall experience.

• Design and implement AI solutions for clients. • Collaborate with stakeholders to understand their AI needs. • Drive AI strategy and governance. • Advise on scalable AI architecture and deployment.

Provide enterprise-level architecture leadership for data and analytics platforms, ensuring performance and security standards are met. Design AI capabilities and integrate DevOps practices for infrastructure deployment and management.