Forward Deployed Engineer III, Google Cloud Consulting

Requirements

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in designing, building, and deploying NLP models and generative AI agents.
• Experience implementing DevOps and MLOps pipelines.
• Experience in building generative AI solutions in a customer-facing role.
• Experience in ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, and debugging) and coding in Python.

Nice to haves

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.
• Ability to communicate in French, Spanish, Italian, or other European languages.

What you'll be doing

• Serve as the lead developer for complex AI applications.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks.
• Identify repeatable field patterns and technical "friction points" in Google’s AI stack.
• Co-build with customer engineering teams to instill Google-grade development best practices.

Perks and benefits

Google Cloud offers a competitive salary, bonus target, equity, and benefits package. Join a collaborative culture providing access to advanced AI tools and the opportunity to work with leading engineers and researchers at DeepMind.