Forward Deployed Engineer, Applied AI, Google Cloud

Google Milan, Metropolitan City of Milan, Italy

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Essential Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (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.
• Experience developing and deploying multilingual natural language processing models.

Preferred Qualifications

• 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 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 troubleshoot live, high-traffic systems during critical windows.
• Ability to travel up to 50% of the time.

About the Job

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for 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 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 a deep understanding of software engineering, machine learning operations, and cloud infrastructure.

Responsibilities

• Serve as the lead developer for Conversational AI and Customer Experience (CX) 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 (ROI).
• 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.
• Develop 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.
• Partner with customer engineering teams to instill Google‑grade development best practices, ensuring long‑term project success and high end‑user adoption.

Google is proud to be 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/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.