Principal Solutions Architect - AI Onboarding in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Solutions Architect - AI Onboarding in the United States.

This role sits at the forefront of cloud-native infrastructure and emerging AI workloads, acting as the primary technical advisor for strategic enterprise customers. You will guide organizations as they design, deploy, and scale modern applications built on APIs, microservices, and increasingly AI-driven architectures. The position blends deep technical expertise with customer-facing leadership, requiring you to shape solutions that span Kubernetes, service mesh, and next-generation AI/agentic systems. You will work closely with engineering, product, and customer teams to ensure successful onboarding, adoption, and long-term value realization. This is a highly impactful role where you influence real-world production systems, helping customers secure and scale AI-enabled platforms. The environment is fast-paced, highly technical, and deeply collaborative, with strong emphasis on innovation and customer success.

• Serve as the primary technical advisor for a portfolio of strategic enterprise customers, building deep understanding of their architectures, goals, and challenges.
• Lead end-to-end technical issue resolution, partnering with engineering and support teams to diagnose and resolve complex production issues.
• Guide customers in adopting and extending platform capabilities for AI and agentic use cases, including LLM gateways and secure model traffic management.
• Provide architectural guidance on cloud-native systems, including Kubernetes, service mesh, APIs, and distributed systems design.
• Drive customer onboarding, enablement, and adoption through workshops, training sessions, and tailored technical content.
• Identify expansion opportunities by proactively surfacing new use cases and optimizing customer architectures.
• Act as the voice of the customer, translating feedback into actionable insights for product and engineering teams.
• Collaborate with account teams to manage technical risk, renewal health, and long-term customer success.

• 5+ years of experience in a customer-facing technical role such as Solutions Architect, Customer Success Engineer, SRE, or Senior Support Engineer.
• Strong expertise in cloud-native technologies including Kubernetes, service mesh (e.g., Istio, Cilium), and API gateways/proxies (e.g., Envoy, Gloo Gateway).
• At least 1+ year of hands-on experience with AI/ML technologies such as LLMs, model-serving platforms, or agentic frameworks.
• Proven experience managing technical relationships with large enterprise customers in post-sales environments.
• Strong troubleshooting and problem-solving skills in complex distributed production systems.
• Ability to communicate technical concepts clearly to both engineering teams and executive stakeholders.
• Proficiency in scripting or programming languages such as Python, Go, or Bash for automation and diagnostics.
• Bachelor’s degree in a technical field or equivalent practical experience.

• Competitive compensation aligned with senior-level technical roles.
• Opportunity to work at the intersection of AI, cloud-native infrastructure, and enterprise-scale systems.
• Remote-friendly and flexible work environment.
• Direct exposure to cutting-edge AI and distributed systems technologies in production environments.
• High-impact role with strong ownership over strategic customer outcomes.
• Collaborative, fast-paced culture with close engagement across engineering, product, and customer teams.
• Continuous learning opportunities in emerging AI and cloud-native domains.
• Inclusive and equal opportunity workplace culture.