Forward Deployed Engineer III, Generative AI, Google Cloud
Google· Google Cloud
Hybrid (Multiple US locations)$174k - $252kFull-timePosted 4mo ago
About the role
Embedded builder role bridging frontier AI products and production-grade solutions for enterprise customers, focusing on deploying agentic AI workflows and integrating Google AI capabilities with customer environments.
Responsibilities
- Serve 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.
- 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 the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
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 taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Skills
Required:PythonAI systems on cloud platformsProduction-grade AI solutionsData pipelines for structured/unstructured dataCustomer-facing technical leadershipAgentic systemsEvaluation and observability
Last updated Oct 23, 2026. Interested? Apply on the company site.
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