Forward Deployed Engineer, Gen AI, Google Cloud (English, Portuguese)
Google· Go-To-Market / Google Cloud
São Paulo, Brazil, RemoteFull-timePosted 1mo ago
About the role
GenAI Forward Deployed Engineer embedded with customers to ship bespoke agentic AI solutions, bridging frontier AI products with production-grade realities in client environments. Focus on code, debugging, and end-to-end deployment within customer ecosystems.
Responsibilities
- Serve as a developer for 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 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 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 technical sales 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 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.
- Experience leading technical discovery sessions.
- Ability to communicate in English and Portuguese fluently to engage with clients in the region.
Skills
Required:PythonAI/ML systems designData pipelines (structured/unstructured)DevOps / production readinessCommunication (English, Portuguese)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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