Forward Deployed Engineer I, GenAI, Google Cloud

Overview

• Minimum qualifications:
• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or similar languages.
• Experience managing technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation (RAG) architectures.

Preferred qualifications

• 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 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.

About the job

Responsibilities

• Serve as the lead developer for 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.
• Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for the engineering teams.
• Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer.
• We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
• See also Google's EEO Policy and EEO is the Law.
• If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .