Principal Solutions Architect (AI Onboarding)

About the role

Join Solo.io as a Principal Solutions Architect, where you'll be the technical heartbeat of our most strategic customer relationships. In this senior post-sales role, you'll work at the intersection of cloud-native infrastructure and emerging AI workloads. You'll serve as the primary technical point of contact for a small portfolio of strategic accounts, guiding them in extending Solo.io products to support modern workloads, including AI and agentic use cases. You'll also drive product adoption, consult on architectural best practices, and champion the customer inside Solo.io. Key missions: 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.. 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. Profile: - Bachelor's degree in a technical field, or equivalent industry experience - 5+ years in a customer-facing technical role such as Solutions Architect, Customer Success Engineer, Site Reliability Engineer, or Senior Support Engineer - Strong communication and presentation skills, with the ability to translate complex technical concepts for audiences ranging from platform engineers to senior executives - Proven track record managing technical relationships with large, strategic enterprise customers in a post-sales context - Excellent troubleshooting instincts and the ability to navigate complex, multi-team production environments - Deep expertise in cloud-native technologies, including Kubernetes, service mesh (e.g., Istio, Cilium), and API gateways and proxies (e.g., Envoy, Gloo Gateway) - 1+ years of hands-on experience with AI/ML technologies — LLMs, agentic frameworks, model-serving platforms, or AI infrastructure - Comfort with scripting or programming (e.g., Go, Python, Bash) for diagnostics, automation, and reference implementations