Note: The job is a remote job and is open to candidates in USA. Solo.io enables companies to Connect, Secure and Observe modern applications with their industry-leading API and Service Mesh Management Platform. As a Principal Solutions Architect, you will deliver technical projects, support customers in maximizing value from Solo products, and guide them in architectural best practices.

Responsibilities

• Serve as the primary technical point of contact for a small portfolio of strategic accounts based in EMEA, 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

Skills

• 5+ years in a customer-facing technical role such as Solutions Architect, Customer Success Engineer, Site Reliability Engineer, or Senior Support Engineer
• 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
• 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
• Strong communication and presentation skills, with the ability to translate complex technical concepts for audiences ranging from platform engineers to senior executives
• Comfort with scripting or programming (e.g., Go, Python, Bash) for diagnostics, automation, and reference implementations
• Bachelor's degree in a technical field, or equivalent industry experience

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