GenAI Support Engineer Google Cloud AI Specialist

Job Description

Must Have Technical/Functional Skills

• Deep Google GenAI Stack: Vertex AI (Pipelines Endpoints Vector Search) Gemini APIs and Agentic architectures (Function Calling Agent Development Kit Agent Builder).
• Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery IAM Cloud Storage and VPCs.
• High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams
• Ideal: Systems & Code Debugging skills Strong Python coding/debugging skills API troubleshooting and distributed systems log analysis (Cloud Logging/Monitoring).

Roles & Responsibilities

• This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.
• Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI Gemini/Gemini Enterprise and Vertex AI Agent Builder.
• 8 years in Tier 3 Technical Support SRE and AI/ML Engineering.
• Mandarin Fluency (Spoken & Written) for direct engagement with enterprise customers and stakeholders.
• Generic Managerial Skills If any
• Stakeholder management
• Escalation handling
• Cross-functional collaboration
• Communication skills
• Problem-solving
• Ownership & accountability