Field Solutions Architect, Generative AI, Google Cloud

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: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience 8 years of experience in providing production‑grade AI solutions to external or internal customers with L400‑level in Python, and architecting AI systems on cloud platforms. Experience in developing Generative AI (GenAI) solutions with foundation models, first‑party model tuning, and advanced Retrieval‑Augmented Generation (RAG) architectures. Ability to communicate in Mandarin fluently to support client relationship management in this region. Preferred qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Experience in Vertex AI Pipelines, Kubeflow, or MLflow to implement Continuous Integration/Continuous Deployment/Continuous Testing automation and experimentation. Experience with L400 in architecting machine learning systems in enterprise environments. Experience with designing data engineering pipelines using BigQuery and VertexAI. Knowledge of model governance, monitoring, high‑throughput batch and low‑latency online serving strategies, with the ability to lead technical discussions and client presentations. Ability to build full‑stack applications that interact with enterprise IT infrastructures, and perform interviews and translate hardware/AI constraints for C‑level and technical teams. About the job In this role, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production‑grade reality within customers. You will manage blocker to production including solving the integration complexities, data readiness issues, and state‑management tests that prevent AI from reaching enterprise‑grade maturity. You will be providing deployment of AI systems and act as a feedback loop, transforming field insights into Google Cloud’s future product roadmap. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Serve as the lead developer for AI applications, transitioning from prototypes to production‑grade agentic workflows (e.g., multi‑agent systems, Master Control Program (MCP) servers) that drive Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters. Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Drive engineering excellence across Japan and Asia Pacific (JAPAC) region by mentoring talent, co‑building with customer teams to instill best practices, and collaborating in cross‑functional strategies to up‑level organizational technical capabilities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr