Forward Deployed Engineer III, Google Cloud, Applied AI

Locations

San Francisco, CA, USA;
Atlanta, GA, USA;
Playa Vista, CA campus; and other specified locations.

• Health, dental, vision, life, disability insurance
• 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

• 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 deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
• Experience building full‑stack applications that interact with enterprise IT infrastructures and developing external customer projects.

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

As a Forward Deployed Engineer (FDE) in Applied AI, you are the “Agent Engineer” and the primary driver for our customers’ most critical AI initiatives. You transform conversational prototypes into production‑ready solutions, owning the end‑to‑end engineering lifecycle and guiding the transition from the “Art of the Possible” to real‑world business value and scalable, secure AI systems.

This high‑travel, high‑impact role focuses on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. It requires strong foundations in software engineering, machine learning operations, and cloud infrastructure. You’ll leverage Google’s brand credibility, advanced AI portfolio, and access to Deep Mind engineering and research to solve customer challenges and drive the AI revolution worldwide.

The US base salary range for this full‑time position is $174,000‑$252,000 plus bonus, equity, and benefits. Salary determination considers level, location, and individual experience.

• Lead development of conversational AI and CX applications, moving prototypes to production‑grade agentic workflows.
• Architect and code conversational flows optimized for connectivity between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high‑performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and latency while maintaining security and networking standards.
• Identify repeatable field patterns and technical friction points in Google’s AAI stack, converting them into reusable modules or product feature requests.
• Co‑build with customer engineering teams to instill Google‑grade development best practices, ensuring long‑term project success and high end‑user adoption.

Google is a proud 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 any protected characteristic. See Google’s EEO Policy and related resources.