Forward Deployed Engineer III, Applied AI

Google Inc.; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google is seeking a Forward Deployed Engineer in Applied AI to lead productionized conversational AI pilots, transforming initial prototypes into scalable, secure solutions. You will own end-to-end delivery across customer journeys, with emphasis on latency, tool selection, and robust security.

You will work in a fast-paced, global team, collaborating with model builders and customers to deliver high-impact AI initiatives at scale.

Qualifikationen

• Bachelor’s degree in a technical field or equivalent practical experience.
• 2 years of software development experience in Python or C++.
• 2 years of GenAI techniques or related concepts (LLMs, CV, etc.).
• 1 year of AI/ML infrastructure experience (deployment, evaluation, optimization, data processing).
• Experience developing multilingual NLP models.

Aufgaben

• Serve as the delivery lead for conversational AI pilots, refactoring prototype code into production-ready integrations.
• Own the delivery of initial customer journeys, ensuring conversational flows are optimized for priority use-cases.
• Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and latency reduction with strong security and networking.
• Implement critical infrastructure: rate limiting, error handling, and regional failover; build monitoring dashboards for Go-Live stability.
• Architect security perimeters (VPC, IAM, CMEK) and optimize RAG strategies balancing latency, accuracy, and cost.

Kenntnisse

Python

C++

GenAI techniques

AI/ML infra

Multilingual NLP

Ausbildung

Bachelor’s degree or equivalent

Tools

LangGraph

CrewAI

Google ADK

Jobbeschreibung

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; London, UK.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python or C++).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, model optimization, data processing, or debugging).
• Experience developing and deploying multilingual natural language processing models.

Preferred qualifications:

• Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field.
• Expertise in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
• Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Responsibilities

• Serve as the delivery lead for conversational AI pilots, taking initial proof-of-value code and refactoring it for production by replacing stubs with secure, real-world integrations.
• Own the delivery of the initial Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized for (top customer/industry priorities).
• Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
• Implement critical infrastructure, including rate limiting, error management, and regional failover strategies; develop monitoring systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales.
• Architect security perimeters (VPC, IAM, CMEK) to satisfy CISO requirements and optimize RAG strategies to balance latency, accuracy, and cost.

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.

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.