AI Outcome Customer Engineer

• Partner with account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
• Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
  
• Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
  
• Serve as the definitive liaison to core product and engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
  
• Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, interfacing with product/engineering organizations, system design and orchestration frameworks.
• Experience with enterprise integrations (e.g., APIs, Enterprise Content Management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript).
• Ability to communicate in Mandarin fluently.

Preferred qualifications:

• Experience orchestrating specialized technical resources to execute complex builds.
• Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
• Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
  
• Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, interfacing with product/engineering organizations, system design and orchestration frameworks.
• Experience with enterprise integrations (e.g., APIs, Enterprise Content Management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript).
• Ability to communicate in Mandarin fluently.