Senior Forward Deployed Engineer, Generative AI, Google Cloud (Mandarin)
Senior Forward Deployed Engineer, Generative AI, Google Cloud (Mandarin)
Google India- Posted 5 hours ago
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Job Description
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications:
Responsibilities
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or a similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Ability to communicate in Mandarin fluently in order to engage clients based in Greater China.
- Master's degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Experience leading technical discovery sessions.
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
- Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.
More Info
Key Skills
LangGraph
CrewAI
multi-agent systems
Google Cloud Platform (GCP)
RAG-like architectures
ADK
granular tracing
vector databases



