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 in Generative AI for Google Cloud. This role involves bridging the gap between AI products and production-grade solutions, working closely with customers to deliver bespoke AI systems and address integration challenges.
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
Company H1B Sponsorship