Note: The job is a remote job and is open to candidates in USA. Google is a leading technology company, and they are seeking a Forward Deployed Engineer III specialized in Generative AI for Google Cloud. The role involves bridging the gap between AI products and production-grade solutions within customer environments, focusing on coding, debugging, and deploying AI systems to enhance enterprise-grade maturity.

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

Skills

• 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
• Master's or PhD in AI, Computer Science, or a related technical field
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation)
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year
• 15% bonus target
• Equity
• Benefits

Company Overview

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