20 beste Stellen als data engineer data integration platform in zürich zh – aktuell auf Personalsuche

Forward Deployed Engineer, GenAI, Google Cloud
Google —Zürich, ZH
- 100%
- Microsoft Excel
- Doktorat
- Master
2 Tage
Senior Solutions Engineer
Squirro —Zürich, ZH
- 100%
- Homeoffice
- Master
- Datenbanken
- JavaScript
Direkt bewerben
Cloud & IoT Solution Engineer (w/m/d)
Acutronic —Bubikon, ZH
- 100%
- Englisch
- JavaScript
- Erfahrung in der IT
System Engineer
Auterion —Zürich, ZH
- Master
- C++
- Bachelor
- Eltern-/Erziehungsurlaub
- Pensionskasse
Direkt bewerben
Sr. DevOps Engineer
QSC, LLC —Zürich, ZH
- 100%
- Management-Erfahrung
- C++
- Bachelor
System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
6 Tage
Senior-Fullstack-Engineer
Korix AG —Zürich, ZH
- CHF 100’000 - CHF 120’000 pro Jahr
- 100%
- Datenbanken
- SQL
- JavaScript
- Kostenloser Parkplatz
- Homeoffice-Möglichkeit
Direkt bewerben
13 Tage
Functional Consultant & Project Manager
BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- Analysefähigkeit
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Zürich, ZH
- Homeoffice
- Englisch
- C++
- Bachelor
Software Engineer III, Spatial AI, XR
Google —Zürich, ZH
- 100%
- C++
- Bachelor
- Ohne Hochschulabschluss
11 Tage
Experienced Low-Code Engineer (Mendix)
Zühlke —Schlieren, ZH
- 100%
- Microsoft Excel
- Englisch
- Java
Software Engineering Internship
ANYbotics —Zürich, ZH
- Doktorat
- Englisch
- Master
Software Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- Master
- C++
Direkt bewerben
Head of Engineering
LimeFlight —Zürich, ZH
- 100%
- Homeoffice
- Management-Erfahrung
- Englisch
- Bachelor
SECURITY ENGINEER
Eviden —Zürich, ZH
- Englisch
- Forschungserfahrung
- Master
22 Std.
Customer Success Engineer
Caplena —Zürich, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
- Forschungserfahrung
Direkt bewerben
Director Planning Transformation
Mondelēz International —Zürich, ZH
- 100%
- Englisch
- Master
- Bachelor
Flight Test Instrumentation Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- Kommunikationsfähigkeit
Direkt bewerben
Lead Software Engineer
Synthara AG —Zürich, ZH
- C++
- Python
Senior Backend Engineer (Python)
Scalera —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Datenbanken
- Erfahrung im Bauwesen
- Python
Direkt bewerben

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Forward Deployed Engineer, GenAI, Google Cloud

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 2 Tagen

Leistungen

Unterkunft

Qualifikationen

Microsoft Excel
Doktorat
Google Cloud Platform
Master
Bachelor
Hardware
Python

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
2 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable 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 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 product feature requests for 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

data engineer data integration platform Jobs in zürich zh

Forward Deployed Engineer, GenAI, Google Cloud

Senior Solutions Engineer

Cloud & IoT Solution Engineer (w/m/d)

System Engineer

Sr. DevOps Engineer

System Engineer

Senior-Fullstack-Engineer

Functional Consultant & Project Manager

Technical Product Manager QVAC - 100% remote

Software Engineer III, Spatial AI, XR

Experienced Low-Code Engineer (Mendix)

Software Engineering Internship

Software Engineer

Head of Engineering

SECURITY ENGINEER

Customer Success Engineer

Director Planning Transformation

Flight Test Instrumentation Engineer

Lead Software Engineer

Senior Backend Engineer (Python)

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer data integration platform in zürich zh erhalten

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