Forward Deployed Engineer III, Applied AI

Google LLC

Zürich

Hybrid

CHF 140,000 - 210,000

Full time

5 days ago
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Job summary

Google LLC is seeking a Forward Deployed Engineer (FDE) in Applied AI to translate conversational prototypes into production-ready solutions, owning end-to-end engineering life-cycle. You will work on Gemini Enterprise-powered AI initiatives, collaborating with model builders to deliver high-impact customer experiences.

As an Agent Engineer, you’ll drive initial pilots to scalable deployments, ensuring performance, security, and fast value delivery across multi-region environments and enterprise

Qualifications

  • 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 or GenAI concepts.
  • 1 year of experience with AI/ML infrastructure (model deployment, evaluation, optimization, data processing, or debugging).
  • Experience developing and deploying multilingual natural language processing models.

Responsibilities

  • Serve as the delivery lead for conversational AI pilots, refactoring PoCs for production with secure integrations.
  • Own delivery of initial Customer User Journeys (CUJs) ensuring flows meet top priorities.
  • Architect and optimize complex agent workloads, focusing on reasoning loops, tool selection, and latency reduction.
  • Implement critical infrastructure like rate limiting, error management, and regional failover; build monitoring for Go-Live traffic scaling.
  • Architect security perimeters (VPC, IAM, CMEK) to satisfy CISO requirements and optimize RAG strategies.

Skills

Python
C++
GenAI techniques
AI/ML infrastructure
Multilingual NLP

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in CS/AI/ML or related field

Tools

LangGraph
CrewAI
ADK

Job description

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

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.

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