20 beste Stellen als solution architect (airtable, make) in berlin, be – aktuell auf Personalsuche

Senior AI Architect - Microsoft Technologies (m/f/d)
EPAM Systems, Inc. —Berlin
- Hybrides Arbeiten
Principal Architect, Google Cloud
Google —Berlin
- 132.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- Bachelor
- Ohne Hochschulabschluss
1 Tag
AI Development Manager
Amprion GmbH —Berlin
- Per E-Mail
- Machine Learning
- APIs
- Personalentwicklung
- Weiterbildungsprogramme
AI Solution Architect / AI Senior Engineer Financial Services (w/m/d)
Capgemini —Berlin
- Master
- Mit Reiseanteil
- Softwareentwicklung
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Senior Consultant Cloud Solution Architect – Business Technology (w/m/d)
Capgemini —Berlin
- Online-Bewerbung
- Informatik
- Mit Reiseanteil
- Führungserfahrung
Principal Frontend Engineer - ZEOS Portal (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Umzugskostenzuschuss
(Senior) Manager Cloud Solution Architect – Business Technology (w/m/d)
Capgemini Sogeti —Berlin
- Online-Bewerbung
- Informatik
- Ingenieurwissenschaft
- Teamleitung
Cloud Architect (m/w/d)
Gesellschaft für musikalische Aufführungs- und mechanische Vervielfältigungsrechte (GEMA) —Berlin
- Online-Bewerbung
- Azure
- Englisch
- AWS
- Gleitzeit
- Homeoffice-Möglichkeit
Technology Architect – Cloud Consulting (all genders)
Accenture —Berlin
- Vollzeit
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
(Senior) Manager Cloud Solution Architect – Business Technology (w/m/d)
Capgemini —Berlin
- Online-Bewerbung
- Informatik
- Ingenieurwissenschaft
- Teamleitung
Cloud- & Plattformarchitekt (m/w/d) – Kubernetes & AI/ML
Sparkassen Rating und Risikosysteme GmbH —Berlin
- Hybrides Arbeiten
- Azure
- Machine Learning
- Gleitzeit
- Weiterbildungsprogramme
Direkt bewerben
Senior Cloud Architect (w/m/d)
Capgemini —Berlin
- Mit Reiseanteil
- Kommunikationsfähigkeit
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Senior Solution Cloud Architect / Lead Digital Platform (m/w/d)
TESVOLT GmbH —Berlin
- Vollzeit
- Homeoffice
- Azure
- Personalführung
- Teamleitung
- Weiterbildungsprogramme
SOLUTION ARCHITECT — CLOUD & GENAI (M/W/D) AMAZON WEB SERVICES
Köln, Gütersloh, Düsseldorf, Hamburg, München, Berlin, Frankfurt —Berlin
- Hybrides Arbeiten
- AWS
- Erfahrung in der IT
- Kommunikationsfähigkeit
Account Architect (m/w/d)
Capgemini —Berlin
- DevOps
- Englisch
- AWS
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
AI-powered Software Consultant (m|w|d)
Comsysto Reply GmbH —Berlin
- Kundenberatung
- AWS
- Recruiting
- Flexible Arbeitszeiten
(Senior) Manager IT Solution Architect SAP S/4HANA (m/w/d)
Deloitte Consulting GmbH —Berlin
- Online-Bewerbung
- Informatik
- Hochschulreife
- Teamleitung
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Sr. Forward Deployed Engineer - FDE (Fullstack)
Databricks —Berlin
- Mit Reiseanteil
Solution Architect SAP SuccessFactors (m/w/d)
Deutsche Telekom MMS GmbH —Berlin
- Vollzeit
- Mit Reiseanteil
- Weiterbildungsprogramme
Senior SAP Cloud Solution Architect (w/m/d)
Capgemini Sogeti —Berlin
- Mit Reiseanteil
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme

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solution architect (airtable, make) jobs near berlin, be

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

EPAM Systems, Inc. -
Berlin

Jetzt bewerben

Details zur Stelle

Qualifikationen

Kernels
GitHub

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

Erweiterte Suche

solution architect (airtable, make) Jobs in berlin, be

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

Principal Architect, Google Cloud

AI Development Manager

AI Solution Architect / AI Senior Engineer Financial Services (w/m/d)

Senior Consultant Cloud Solution Architect – Business Technology (w/m/d)

Principal Frontend Engineer - ZEOS Portal (all genders)

(Senior) Manager Cloud Solution Architect – Business Technology (w/m/d)

Cloud Architect (m/w/d)

Technology Architect – Cloud Consulting (all genders)

(Senior) Manager Cloud Solution Architect – Business Technology (w/m/d)

Cloud- & Plattformarchitekt (m/w/d) – Kubernetes & AI/ML

Senior Cloud Architect (w/m/d)

Senior Solution Cloud Architect / Lead Digital Platform (m/w/d)

SOLUTION ARCHITECT — CLOUD & GENAI (M/W/D) AMAZON WEB SERVICES

Account Architect (m/w/d)

AI-powered Software Consultant (m|w|d)

(Senior) Manager IT Solution Architect SAP S/4HANA (m/w/d)

Sr. Forward Deployed Engineer - FDE (Fullstack)

Solution Architect SAP SuccessFactors (m/w/d)

Senior SAP Cloud Solution Architect (w/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als solution architect (airtable, make) in berlin, be erhalten

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