20 beste Stellen als google cloud ai engineer (m/w/d) || genai in berlin, be – aktuell auf Personalsuche

Senior AI Architect - Microsoft Technologies (m/f/d)
EPAM Systems, Inc. —Berlin
- Hybrides Arbeiten
- Azure
- AWS
- SharePoint
Software Engineer, Platform - Berlin, Germany
Speechify —Berlin
- 30.000 € – 120.000 € pro Jahr
- Homeoffice
- Azure
- Doktorat
- AWS
4 Std.
SENIOR GOOGLE AI ENGINEER (M/W/D)
Gütersloh, Hamburg, Berlin, München, Hybrid, Düsseldorf —Berlin
- Hybrides Arbeiten
- Englisch
- Java
- Softwareentwicklung
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Senior Platform Engineer (Go) - Remote Work
BairesDev —Berlin
- Homeoffice
- Master
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
CLOUD ENGINEER (M/W/D) || DATA & AI
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Digits KG —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
Senior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
8 Tage
DATA ENGINEER – GENAI PLATFORM INTEGRATION (M/W/D)
Köln, Hannover, Gütersloh, Düsseldorf, Frankfurt, München, Hamburg, Berlin —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
DevOps Engineer (m/w/d) in der IT-Beratung
PTA GmbH —Berlin
- 55.000 € – 70.000 € pro Jahr
- Vollzeit
- Azure
- Informatik
- DevOps
AI Security Engineer (gn)
The Quality Group GmbH —Berlin
- Vollzeit
- Homeoffice
- Informatik
- Azure
- Informatik
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
Direkt bewerben
Senior Cloud Security Engineer Multi-Cloud (GCP and Azure) f/m/d
PSI Software SE —Berlin
- Teilzeit
- Azure
- DevOps
- Erfahrung mit Netzwerken
- Flexible Arbeitszeiten
1 Tag
AI Infrastructure Engineer
Google —Berlin
- 100.000 € – 103.000 € pro Jahr
- Vollzeit
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2 Std.
Staff Systems Engineer (d/f/m)
Taxfix —Berlin
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Direkt bewerben
9 Tage
Engineering Manager - AI Engineering & AI Platform (m/f/x)
Scalable GmbH —Berlin
- Vollzeit
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- Master
- AWS
- Softwareentwicklung
Direkt bewerben
14 Tage
Full Stack AI Engineer
Xsolla —Berlin
- Vollzeit
- Azure
- Master
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Backend Engineer - Recommendation (all genders)
ABOUT YOU SE & Co. KG —Berlin
- 60.000 € – 70.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
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Direkt bewerben
Staff Software Engineer (m/w/d)
Sharpist GmbH —Berlin
- Vollzeit
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- Master
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Senior Software Engineer (w/m/d)
Capgemini —Berlin
- Informatik
- Azure
- Informatik
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AI Sales Specialist, SAP, Google Cloud
Google —Berlin
- 120.000 € – 123.000 € pro Jahr
- Vollzeit
- Unternehmensentwicklung
- Bachelor
- Ohne Hochschulabschluss
Staff Security Engineer, Product Security team
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Java
- Master
Direkt bewerben

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google cloud ai engineer (m/w/d) || genai jobs near berlin, be

Senior AI Architect - Microsoft Technologies (m/f/d)

EPAM Systems, Inc. -
Berlin

Jetzt bewerben

Details zur Stelle

Qualifikationen

CI/CD
Azure
Cloud-Architektur
Kubernetes
Kernels
AWS
PostgreSQL
Terraform
SharePoint
GitHub
Produktion
Künstliche Intelligenz
Softwareentwicklungszyklus

Vollständige Stellenbeschreibung

We're looking for a Senior AI Architect to join our team in Germany in a hybrid working mode. In this role, you will help clients design and scale production-grade AI platforms and solutions on Microsoft Azure. You will work at the intersection of enterprise architecture, cloud-native engineering, GitHub-enabled software delivery and responsible AI adoption.

This position focuses on shaping large-scale AI transformation programs that connect business outcomes with practical architecture design. You will engage in areas such as Azure AI platforms, copilots, RAG, agentic systems, governance, observability, evaluation, security and Responsible AI practices.

Unlike roles centered on proofs of concept, this opportunity involves delivering enterprise-grade AI systems embedded into real workflows, including engineering productivity, knowledge retrieval, automation and AI-enabled delivery. The challenges go beyond basic API calls and span AI-native software engineering, GitHub Copilot integration, secure architectures, FinOps and governance at scale.

You will collaborate with architects, engineers, Microsoft/GitHub specialists and client leadership teams to drive secure and governed AI adoption.

Responsibilities

Define target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflows
Lead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governance
Design Azure-first architectures using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, PostgreSQL and Microsoft Fabric where applicable
Design AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repositories, secure pull-request practices and AI-assisted delivery patterns
Design harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human approval gates
Define governance and operational frameworks for Responsible AI, security, identity, FinOps and observability
Translate business outcomes into target architecture, executive narratives, platform decisions and delivery governance across client leadership, architecture, engineering and security teams
Facilitate workshops, hackathons and enablement sessions focused on AI adoption, Copilot integration and engineering excellence
Convert practical experience into reusable patterns, accelerators and architectural blueprints
Mentor architects and engineers and contribute to presales and solution design initiatives

Requirements

10+ years in solution architecture, cloud platforms or platform engineering
Strong experience with enterprise AI, GenAI, agentic systems, RAG and AI-native engineering
Proficiency with Microsoft Azure and modern cloud-native architecture
Knowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices
Track record of moving AI initiatives beyond PoC to enterprise-grade production environments
Hands-on capability to validate prototypes, review code and guide engineering decisions
Ability to explain how to make AI useful in production, not just impressive in a demo
Capability to design platform architecture, governance models, adoption plans and AI delivery workflows
Confidence working across enterprise realities, leveraging Azure and GitHub pragmatically
Strong communication skills with both executives and technical stakeholders

Nice to have

Experience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions and GitHub Advanced Security
Familiarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI or similar
Knowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint or Power Platform integration
Understanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI FinOps
Background in enterprise infrastructure with Terraform/IaC, Kubernetes/AKS, CI/CD and secure API gateway practices
Awareness of agent reliability and security techniques, including workflow state, recovery, tool-permission boundaries, evaluation gates, prompt-injection defense, audit trails, rollback mechanisms and human approval workflows
Familiarity with compliance and governance standards such as GDPR, EU AI Act readiness or ISO/IEC 42001
Experience in regulated industries such as finance, healthcare, energy, retail, manufacturing or public sector
Knowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, OpenAI API or Hugging Face

We offer

30 days holiday per annum
Company Pension Scheme
Regular performance assessments
Discount on Fitness-First Black Membership
bitkom - Corporate Benefits
Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
Friendly and enjoyable working team
Regular corporate and social events
Flexible and remote working opportunities
Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.

Jetzt bewerben

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google cloud ai engineer (m/w/d) || genai Jobs in berlin, be

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Ich möchte aktuelle Job-E-Mails für Stellen als google cloud ai engineer (m/w/d) || genai in berlin, be erhalten

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