Forward Deployed Engineer II, Applied AI, Google Cloud

Overview

Forward Deployed Engineer (FDE) in Applied AI. You will be the Agent Engineer and primary driver for our customers' most critical AI initiatives, transforming conversational prototypes into production‑ready solutions and owning the end‑to‑end engineering lifecycle. The role requires significant travel and focuses on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers.

Preferred working locations:
San Francisco, CA;
Atlanta, GA;
Austin, TX;
Boulder, CO;
Cambridge, MA;
Chicago, IL;
Addison, TX;
Detroit, MI;
Irvine, CA;
Kirkland, WA;
Los Angeles, CA;
Miami, FL;
Mountain View, CA;
New York, NY;
Portland, OR;
Reston, VA;
San Diego, CA;
Seattle, WA;
Sunnyvale, CA;
Washington D.C., DC
. The role may also be located at our Playa Vista, CA campus.

US base salary range: $147,000–$211,000 plus bonus, equity, and benefits. Salary ranges are role, level, and location dependent. Additional information regarding equity and bonus is shared during the hiring process.

• Health, dental, vision, life, and disability insurance
• 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years; 40 hours of sick time per year (69 hours 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

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
• 2 years of software development experience using Python or a similar language
• Experience deploying resources via Terraform or comparable automation tools for agents, functions, or networking
• Experience building full‑stack applications that interact with enterprise IT infrastructures and external customer projects
• Experience architecting AI systems on cloud platforms such as Google Cloud Platform (GCP)

• Master’s or PhD in AI, Computer Science, or a related technical field
• Experience implementing multi‑agent systems using frameworks like ReAct and self‑reflection
• Experience connecting agents to enterprise knowledge bases and optimizing retrieval‑augmented generation (RAG) chunking to prevent hallucinations
• Experience debugging agent logic and optimizing tool selection, including tracing conversation identifiers across microservices for real‑time failure resolution
• Track record of troubleshooting live, high‑traffic systems during critical windows
• Ability to travel up to 50% of the time

• Lead development of conversational AI and customer experience applications, progressing from rapid prototypes to production‑grade agentic workflows (e.g., multi‑agent systems, model context protocol (MCP) servers) that deliver measurable ROI
• Architect and code conversational flows optimized for the integration between Google’s Conversational AI products and clients’ live infrastructure, including APIs, legacy data silos, and security perimeters
• Build high‑performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and latency reduction while maintaining production‑grade security and networking
• Identify repeatable field patterns and technical “friction points” in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams
• Co‑build with customer engineering teams to instill Google‑grade development best practices, ensuring project success and end‑user adoption

Google is an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law.

See Google’s EEO Policy, Know Your Rights: workplace discrimination is illegal, Belonging at Google, and How We Hire.

English proficiency is a requirement for all roles unless stated otherwise.