Forward Deployed Engineer III, Google Cloud, Applied AI

MINIMUM QUALIFICATIONS:

* 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.

PREFERRED QUALIFICATIONS:

* 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.

ABOUT THE JOB:

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 take

initial conversational prototypes and transform them into production-ready

solutions, owning the end-to-end engineering life-cycle, including the

transition from "Art of the Possible" to real-world business value and scalable,

secure AI systems. In this high-travel, high-impact role, you will focus on

leading technical delivery for Conversational AI pilots and establishing the

first Customer User Journeys (CUJs) for our largest customers at their sites.

Your role requires an understanding of software engineering, machine learning

operations, and cloud infrastructure.It's an exciting time to join Google

Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide.

You’ll leverage Google's brand credibility—a legacy built on inventing

foundational technologies and proven at scale. We’ll provide you with the

world's most advanced AI portfolio, including frontier Gemini models, and the

complete Vertex AI platform, helping you to solve business problems. We’re a

collaborative culture providing direct access to DeepMind's engineering and

research minds, empowering you to solve customer challenges. Join us to be the

catalyst for our mission, drive customer success, and define the new cloud

era—the market is yours. Individual pay is determined by factors including

job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Serve as the lead developer for conversational artificial intelligence (AI)

and customer experience (CX) applications, transitioning from rapid

prototypes to production-grade agentic workflows.

* Architect and code conversational flows that are not just functional, but

optimized for the "connective tissue" between Google’s Conversational AI

products and customers’ 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 reducing latency 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 long-term project success and high end-user

adoption.