Principal Solutions Architect - AI Onboarding
USFull-TimePrincipal
Salary not disclosed
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Job Details
- Required Skills
- PythonBashKubernetesGoDistributed Systems
Requirements
- 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.
Responsibilities
- 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.
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