AI Architect

Stelle nicht auf LinkedIn

🕒 vor 6 Tagen

🌐 Vereinigtes Königreich, Schweiz, +6 weitere Länder – Remote

🇬🇧 Vereinigtes Königreich – Remote 🇨🇭 Schweiz – Remote 🇺🇦 Ukraine – Remote 🇲🇩 Moldau – Remote 🇬🇪 Georgien – Remote 🇦🇲 Armenien – Remote 🇲🇪 Montenegro – Remote 🇹🇷 Türkei – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

🤖 KI-Ingenieur

👻 Geisterscore 12%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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WhiteTech

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

WhiteTech ist ein Product Company, das modulare White-Label-Fintech-Infrastruktur und Payment-Orchestration-Plattformen für regulierte Finanzunternehmen entwickelt, darunter PSPs, Neobanken und Open-Banking-Anbieter. Die Plattform umfasst einen Payment Orchestrator, der Zahlungen über Hunderte von Zahlungsmethoden und mehr als 500 Integrationen routet, sowie über 50 modulare Komponenten, die über eine einzige API bereitgestellt werden. Zu den erweiterten Funktionen zählen dynamisches Open-Banking-Routing, die Verifizierung von Zahlungsbelegen, automatisierte Workflows (Settlement, Reconciliation), Analytics und Compliance-ready Security (PCI DSS, PSD2, DORA). WhiteTech positioniert sich als schnell einsetzbarer Enterprise-B2B-Fintech-SaaS-Anbieter und technischer Servicepartner – das Unternehmen betreibt selbst keine Transaktionskonten.

Beschreibung

• Define and evolve WhiteTech’s AI architecture and long-term AI technology strategy • Design production-grade AI and LLM-powered solutions integrated with existing fintech products and services • Architect AI agents, conversational systems, intelligent workflows, and AI-assisted automation • Design Retrieval-Augmented Generation (RAG) architectures, enterprise knowledge systems, and semantic search solutions • Select AI models, model providers, platforms, and infrastructure based on business, technical, security, latency, and cost requirements • Define patterns for integrating LLMs and AI services into backend and microservice architectures • Design scalable orchestration layers for prompts, tools, agents, APIs, models, and enterprise data sources • Establish standards for prompt management, model routing, structured outputs, context management, and AI service integration • Define AI evaluation frameworks, quality metrics, monitoring, observability, and feedback loops • Design safeguards and guardrails addressing reliability, security, privacy, explainability, and responsible AI use • Address AI-specific risks including hallucinations, prompt injection, data leakage, model misuse, and unpredictable model behavior • Work with Security and Compliance teams to meet fintech data protection and regulatory requirements • Design model lifecycle management, versioning, experimentation, evaluation, and deployment strategies • Optimize AI systems for performance, latency, scalability, reliability, and cost • Evaluate emerging AI technologies for practical value in WhiteTech products and operations • Lead architectural reviews for AI initiatives and validate engineering-team solutions • Support Proof-of-Concept initiatives and move successful AI experiments into production • Collaborate with Product teams to identify and prioritize AI opportunities with measurable business impact • Create architectural documentation, reference architectures, technical guidelines, and reusable AI patterns • Mentor engineers and technical leaders on AI architecture and engineering best practices

🎯 Anforderungen

• 8+ years of software engineering experience, including significant architecture or technical leadership responsibility • Previous experience as AI Architect, Software Architect, Solution Architect, Principal Engineer, ML Architect, AI Engineer, or a similar senior technical role • Strong practical experience designing and delivering production-grade AI or LLM-powered systems • Deep understanding of modern Generative AI and Large Language Model architectures • Experience integrating commercial and/or open-source LLMs into production applications • Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval • Experience designing AI agents, tool-calling workflows, or multi-step AI orchestration • Understanding of prompt engineering, context engineering, structured outputs, and model evaluation • Experience with AI/LLM APIs and model platforms such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or similar technologies • Experience with vector databases or search technologies such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, or similar solutions • Strong understanding of distributed systems, microservices, APIs, asynchronous processing, and event-driven architecture • Strong backend engineering background and ability to integrate AI capabilities into complex existing systems • Experience with cloud-native environments, Docker, Kubernetes, and modern infrastructure • Understanding of AI observability, monitoring, tracing, evaluation, and production incident analysis • Strong understanding of security, privacy, access control, and data governance in AI systems • Experience designing systems that work with sensitive or regulated data • Ability to evaluate trade-offs between model quality, latency, reliability, privacy, and cost • Experience documenting and presenting architectural decisions to both technical and non-technical stakeholders • Ability to balance experimentation and innovation with production reliability and business priorities

🏖️ Vorteile

• Competitive compensation package (commensurate with your experience) • 19 business days of flexible Paid Time Off (PTO) • Fully remote work with flexible hours (within the CET time zone) from any location of your choice • Values-driven culture with a friendly and supportive work environment • Opportunity to regularly participate in conferences and community events as both a participant and contributor • Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency

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