01Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol. (MCP) servers) that drive measurable Return on Investment (ROI).
02Architect 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.
03Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
04Identify repeatable field patterns and friction points in Google-s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
05Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Requirements
↳Bachelor-s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
↳8 years of experience in cloud computing or a technical customer-facing role.
↳Experience taking production-grade AI-driven solutions from conception to launch and 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 Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
