Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in designing, building, and deploying NLP models and Generative AI agents.
• Experience implementing DevOps and MLOps pipelines.
• Experience in building generative AI solutions in a customer-facing role.
• Experience in ML infrastructure (e.g., model deployment, model evaluation, data processing, and debugging) and coding in Python.
• Ability to communicate in French or German fluently to support client relationship management in this region.

Preferred qualifications:

• Master's 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 ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
• Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.
• Knowledge of Large Language Model ("LLM-native") metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Fluent in French, Spanish, Italian or other European languages.

About the job
Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models.

As a part of the AI GTM team, you will be a trusted AI advisor, scaling across Google to deliver transformative customer experiences that shape the next-generation of their business. You will partner to provide deep AI expertise, thought leadership, and industry best practices, revolutionize customer outcomes.

As an AI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers, and unlike traditional advisory roles, you 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.

Your role is designed for high-agency engineers with a founder's mindset. You will address blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You will serve a dual purpose, providing white glove deployment of complex 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 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.

Ireland: €100000 - €103000 (EUR) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Serve as the lead developer for complex AI 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 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 (Eval) 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 formal product feature requests for the Engineering teams.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .

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 .

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.