20 beste Stellen als staff forward deployed engineer, genai, google cloud in frankfurt am main, he – aktuell auf Personalsuche

Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Frankfurt am Main
- Vollzeit
- Doktorat
- Informatik
- Master
GenAI / Agentic AI Engineer (all genders)
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Trainee Cloud & Data - Dein Einstieg in Artificial Intelligence & Data (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Online-Bewerbung
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- Java
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Trainee Cloud & Data - Dein Einstieg in Cloud Consulting & Engineering im Oktober 2026 (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Online-Bewerbung
- Azure
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Software Engineer (m/f/d) AI/GenAI
EPAM Systems, Inc. —Frankfurt am Main
- Hybrides Arbeiten
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Google Cloud AI Engineer (all genders)
Accenture —Kronberg
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- Azure
- Englisch
- SQL
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Staff Engineer (w/m/d) Mobile Games
Lotum —Frankfurt am Main
- Vollzeit
- JavaScript
- Künstliche Intelligenz
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
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Principal – SAP BTP & Agentic AI (all genders) - BCG Platinion
Boston Consulting Group —Frankfurt am Main
- Informatik
- Mit Reiseanteil
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GenAI Developer Python/ ML Remote in Germany
Talents2Germany GmbH —Frankfurt am Main
- 80.000 € – 100.000 € pro Jahr
- Hybrides Arbeiten
- Englisch
- Master
- Datenbanken
Direkt bewerben
5 Tage
Manager – SAP BTP & Agentic AI (all genders) - BCG Platinion
Boston Consulting Group —Frankfurt am Main
- Microsoft Excel
- Informatik
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GenAI / Agentic AI Solutions Architect (all genders)
Accenture —Kronberg
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- Azure
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Senior GenAI Engineer LLMs/ RAG/ Python (w/m/d) remote in DE
Talents2Germany GmbH —Frankfurt am Main
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- Master
- Machine Learning
- APIs
Direkt bewerben
5 Tage
Dual study program in Applied Computer Science (B.Sc.) 2026 at the DHBW Mannheim (all genders)
Amadeus IT Group —Bad Homburg vor der Höhe
- 1.200 € – 1.500 € pro Monat
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Junior Data & AI Engineer (f/m/x)
Yttrium GmbH —Frankfurt am Main
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Cloud Architect (all genders) - Google Cloud
Thinkport GmbH —Frankfurt am Main
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- Englisch
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- Python
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Accenture —Frankfurt am Main
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- AWS
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1&1 Telecommunication SE —Frankfurt am Main
- Online-Bewerbung
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Senior Data & AI Engineer (Google Cloud Stack) (m/w/d)
dfv Mediengruppe —Frankfurt am Main
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AI Native Product Engineer & Orchestrator (all gender)
Accenture —Kronberg
- Vollzeit
- Informatik
- Java
- Bachelor
Cloud Engineer Softwareentwicklung (m/w/d)
Deloitte GmbH —Frankfurt am Main
- Online-Bewerbung
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten

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staff forward deployed engineer, genai, google cloud jobs near frankfurt am main, he

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.

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als staff forward deployed engineer, genai, google cloud in frankfurt am main, he erhalten

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