Senior Forward Deployed Engineer, GenAI, Google Cloud

Google LLC; Zürich; Vor Ort; CHF 170.000 - 210.000; Vollzeit

Zusammenfassung

Google LLC, a leader in AI, seeks a Senior GenAI Forward Deployed Engineer to embed with customer teams and translate frontier AI prototypes into production-grade agentic solutions within client environments.

You will tackle integration complexities, data readiness, and state management, delivering white-glove deployment and feeding field insights into Google Cloud’s roadmap. Collaboration with DeepMind engineers and Gemini models will shape scalable deployments.

Qualifikationen

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation Retrieval-Augmented Generation (RAG)-like architectures to power enterprise-grade AI solutions.

Aufgaben

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable ROI.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements.
• Identify repeatable field patterns and technical friction points in Google’s AI stack, turning them into reusable modules or product feature requests.
• Mentor talent, co-build with customer teams, and influence cross-functional strategies to uplevel technical capabilities.

Kenntnisse

Python

TypeScript

AI systems design

Cloud platforms

Vector databases

RAG architectures

Discovery sessions

API integration

Ausbildung

Bachelor's degree in Engineering/CS or equivalent

Tools

Google Cloud Platform (GCP)

Vertex AI

LangGraph

CrewAI

ADK

Jobbeschreibung

info_outline

info_outline X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation Retrieval-Augmented Generation (RAG)-like architectures to power enterprise-grade AI solutions.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Senior GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging 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.

Responsibilities

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol 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.
• 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 technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for engineering teams.
• Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.

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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.