20 beste Stellen als field application engineer in frankfurt am main, he – aktuell auf Personalsuche

Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Frankfurt am Main
- Vollzeit
- Doktorat
- Informatik
- Master
Rust Engineer - Trading
Keyrock —Frankfurt am Main
- Vollzeit
- Homeoffice
- AWS
- Scripting
- APIs
- Flexible Arbeitszeiten
Senior Security Engineer - AppSec (d/f/m)
vivenu GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Master
Direkt bewerben
Working Student Industrial (f/m/d)
Valeo —Friedrichsdorf
- Vollzeit
- CAD
- Datenanalyse
- Produktion
- Flexible Arbeitszeiten
Senior Generative AI Engineer(M/W/D)
IQVIA —Frankfurt am Main
- Vollzeit
- Azure
- Informatik
- Master
DATA ANALYST (f/m/d)
360 Treasury Systems —Frankfurt am Main
- Vollzeit
- Informatik
- SQL
- Bachelor
Transmission Line Design Engineer
GOPA Group —Bad Homburg vor der Höhe
- Vollzeit
- Microsoft Office
- Master
- Bachelor
- Flexible Arbeitszeiten
Direkt bewerben
(Senior) ASIC Test Engineer (m/f/d) - REF6604C
Aumovio —Frankfurt am Main
- Vollzeit
- Doktorat
- Master
- Produktion
Direkt bewerben
Project Manager (m/f/d) for Thermal Energy & Hydrogen
Dornier Group —Bad Vilbel
- Vollzeit
- Projektmanagement
- Mit Reiseanteil
Direkt bewerben
Partner Manager
ServiceNow —Frankfurt am Main
- Vollzeit
- Homeoffice
- Vertrieb
Direkt bewerben
Analysts for German speaking markets and Western Europe
Dr. Kalliwoda Research —Frankfurt am Main
- Kommunikationsfähigkeit
Bauleiter Elektrotechnik / Electrical Construction Manager (d/f/m)
DPR Construction —Frankfurt am Main
- Vollzeit
- Microsoft Office
- Projektmanagement
- Bachelor
- Employee Assistance Program
- Mitgliedschaft im Fitnessstudio
(Senior) Derivatives Valuation Specialist (f/m/d)
Allianz —Frankfurt am Main
- Vollzeit
- Datenanalyse
- Datenbanken
- SQL
- Flexible Arbeitszeiten
Specialist/Engineer AI/"Intent-Based Netorking" (m/w/d)
racksnet GmbH —Bad Soden am Taunus
- Azure
- Informatik
- AWS
Senior Pre-Construction Manager, EMEA Pre-Construction
A100 ROW GmbH —Frankfurt am Main
- Vollzeit
- PMP
- AWS
- Projektmanagement
Senior Systems Engineer, UDS Data Management
Dell Technologies —Frankfurt am Main
- Vollzeit
- Homeoffice
- Azure
- Vertrieb
- SQL
Director of API Integrations (Crypto / Blockchain)
Caiz —Frankfurt am Main
- Homeoffice
- Informatik
- Master
- AWS
- Umzugskostenzuschuss
- Homeoffice-Möglichkeit
Direkt bewerben
Sr. Full Stack Developer
Fortinet —Sophia Antipolis (06)
- Vollzeit
- Englisch
- Master
- Bachelor
Security Architect (m/f/d)
EPAM Systems, Inc. —Frankfurt am Main
- Azure
- Informatik
- AWS
Senior Full-Stack Developer - React & Azure Serverless (m/f/d)
Wingcopter GmbH —Weiterstadt
- Vollzeit
- Azure
- Informatik
- Master
- Kostenloser Parkplatz
- Flexible Arbeitszeiten

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Staff Forward Deployed Engineer, GenAI, Google Cloud

Google -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Informatik
React
Google Cloud Platform
Master
Bachelor
APIs
Künstliche Intelligenz
TypeScript
Python

Vollständige Stellenbeschreibung

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Munich, Germany; Berlin, Germany; Frankfurt, Germany; Hamburg, Germany.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript, or similar 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 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 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 the 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Erweiterte Suche

field application engineer Jobs in frankfurt am main, he

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(Senior) ASIC Test Engineer (m/f/d) - REF6604C

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Analysts for German speaking markets and Western Europe

Bauleiter Elektrotechnik / Electrical Construction Manager (d/f/m)

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Senior Pre-Construction Manager, EMEA Pre-Construction

Senior Systems Engineer, UDS Data Management

Director of API Integrations (Crypto / Blockchain)

Sr. Full Stack Developer

Security Architect (m/f/d)

Senior Full-Stack Developer - React & Azure Serverless (m/f/d)

Ich möchte aktuelle Job-E-Mails für Stellen als field application engineer in frankfurt am main, he erhalten

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