• Serve as the primary technical point of contact for a small portfolio of strategic accounts, developing deep familiarity with their use cases, architecture, teams, and business goals. • Lead technical issue resolution end-to-end, partnering with Support and Engineering on escalations and driving root-cause analysis. Provide hands-on troubleshooting within your accounts where it accelerates resolution and deepens customer trust. • Guide customers as they extend Solo.io products to support modern workloads — including AI and agentic use cases such as LLM gateways, agent-to-agent communication, and securing model traffic at scale. • Proactively drive product adoption by identifying new use cases and surfacing opportunities for customers to gain more value from the Solo.io product suite. • Consult with customers on architectural best practices, performance tuning, and operational excellence in their Solo.io deployments. • Design and deliver tailored training sessions, workshops, and enablement content to grow customer self-sufficiency. • Champion the customer inside Solo.io — translating their needs into actionable feedback for Product Management and Engineering. • Partner with the account team (CSM, AE, SE) to identify and manage technical risk, renewal health, and expansion opportunities.

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs. • Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management. • Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews. • Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management. • Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution. • Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency. • Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards. • Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making. • Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs. • Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management. • Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews. • Architect and deploy cloud-native, automation-first IT systems focused on resilience, performance, and zero-touch management. • Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution. • Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency. • Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards. • Drive tool rationalization and consolidation projects using AI analytics.

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs. • Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management. • Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews. • Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management. • Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution. • Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency. • Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards. • Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making. • Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.