Gen AI Developer with GCP AND Python

Role : Gen AI Developer with GCP AND PythonLocation: Any where in USA OnsiteDuration: FulltimeJOB DESCRIPTION:As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.JOB 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 ROI.● Architect and code the "connective tissue" between clients 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 client AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.● Co-build with customer engineering teams to instill client grade development best practices, ensuring long-term project success and high end-user adoption.MINIMUM QUALIFICATIONS:● Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.● 5 years of experience with software development using Python or similar coding languages.● Experience architecting AI systems on cloud platforms (e.g., 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.● Experience leading technical discovery sessions with customers.