20 beste Stellen als cloud (data) platform engineer (m/w/d) in frankfurt am main, he – aktuell auf Personalsuche

Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Frankfurt am Main
- 150.000 € – 154.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
Senior Data Engineer (m/f/d)
Solactive AG —Frankfurt am Main
- Vollzeit
- Datenbanken
- Softwareentwicklung
- Python
Direkt bewerben
13 Tage
Software Engineer (m/f/d) AI/GenAI
EPAM Systems, Inc. —Frankfurt am Main
- Hybrides Arbeiten
- Azure
- Informatik
- Java
AI Engineer for Industry digitalisation product (m/f/d)
JUSTROCKET —Frankfurt am Main
- Montag bis Freitag
- Hybrides Arbeiten
- Azure
- ERP-Systeme
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Backend Engineer (Golang) (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
- Azure
- Informatik
- Datenbanken
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
Network Deployment Build Lead (Network Technician), AWS
A100 ROW GmbH —Frankfurt am Main
- Vollzeit
- Informatik
- Hochschulreife
- AWS
Senior Consultant AI & Data Engineering (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Teilzeit
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Team Lead / Product Owner, Finance Data Platform (f/m/d)
Allianz —Frankfurt am Main
- Vollzeit
- Agile
- Wirtschaft
- Erfahrung im Bankwesen
- Flexible Arbeitszeiten
6 Tage
(Senior) Platform Engineer / Architekt (m/w/d)
Union Asset Management Holding AG —Frankfurt am Main
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- DevOps
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
3 Std.
Lead Azure Data Engineer - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- Präsentationserfahrung
- Künstliche Intelligenz
Direkt bewerben
Agentic AI MarTech Architect (all genders)
Accenture —Frankfurt am Main
- Vollzeit
- Azure
- AWS
- Künstliche Intelligenz
Azure Data Engineer II - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- DevOps
- SQL
Direkt bewerben
Network Deployment Build Lead , Global Network Deployment (GND)
A100 ROW GmbH —Frankfurt am Main
- Vollzeit
- Hochschulreife
- AWS
- Erfahrung mit Netzwerken
14 Tage
DevOps Consultant Kubernetes (m/w/d)
Devoteam —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Analysefähigkeit
- Linux
(Senior) Data Platform Architect (w/m/d)
Cofinpro —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- Agile
- Weiterbildungsprogramme
Direkt bewerben
DCEO Project Engineer, DC Engineering Ops - Excellence (DCEx)
A100 ROW GmbH —Frankfurt am Main
- Vollzeit
- PMP
- Militär
- AWS
Technical Infrastructure Program Manager, Fiber Deployment, Global Connectivity Infrastructure Development
A100 ROW GmbH —Frankfurt am Main
- Vollzeit
- AWS
- Projektmanagement
- Mit Reiseanteil
Senior Product Manager (m/f/d) Digital, Data & AI Solutions
EPAM Systems, Inc. —Frankfurt am Main
- Azure
- Informatik
- Vertrieb
Manager Implementation Services (m/w/d)
Digital Realty —Frankfurt am Main
- Vollzeit
- Projektmanagement
- Führungserfahrung
- Flexible Arbeitszeiten
11 Tage
Senior Data Analytics Engineer - 100% Remote
Digistore24 —Frankfurt am Main
- 50.000 € – 65.000 € pro Jahr
- Vollzeit
- Homeoffice
- Azure
- ERP-Systeme
- AWS
- Flexible Arbeitszeiten

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Staff Forward Deployed Engineer, GenAI, Google Cloud

Google -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Vollzeit
150.000 € – 154.000 € pro Jahr

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €150000 - €154000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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

Erweiterte Suche

cloud (data) platform engineer (m/w/d) Jobs in frankfurt am main, he

Staff Forward Deployed Engineer, GenAI, Google Cloud

Senior Data Engineer (m/f/d)

Software Engineer (m/f/d) AI/GenAI

AI Engineer for Industry digitalisation product (m/f/d)

Backend Engineer (Golang) (f/m/d)

Network Deployment Build Lead (Network Technician), AWS

Senior Consultant AI & Data Engineering (m/w/d)

Team Lead / Product Owner, Finance Data Platform (f/m/d)

(Senior) Platform Engineer / Architekt (m/w/d)

Lead Azure Data Engineer - Agentic AI Platform

Agentic AI MarTech Architect (all genders)

Azure Data Engineer II - Agentic AI Platform

Network Deployment Build Lead , Global Network Deployment (GND)

DevOps Consultant Kubernetes (m/w/d)

(Senior) Data Platform Architect (w/m/d)

DCEO Project Engineer, DC Engineering Ops - Excellence (DCEx)

Technical Infrastructure Program Manager, Fiber Deployment, Global Connectivity Infrastructure Development

Senior Product Manager (m/f/d) Digital, Data & AI Solutions

Manager Implementation Services (m/w/d)

Senior Data Analytics Engineer - 100% Remote

Ich möchte aktuelle Job-E-Mails für Stellen als cloud (data) platform engineer (m/w/d) in frankfurt am main, he erhalten

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