26.05.2026 aktualisiert
100 % verfügbar
AI Solution Architect
Vienna, Österreich
Weltweit
Master in Parallel und Distributed computing & Master in Artificial IntelligenceÜber mich
I help teams and organizations turn AI concepts into reliable, production-ready systems. With 15+ years of experience, I design secure, high-impact AI platforms based on LLM and RAG architectures — bridging the gap between innovation and practical delivery.
Skills
JavaKünstliche IntelligenzApache AirflowAmazon Web ServicesArchitekturMicrosoft AzureCloud ComputingDatenbankenBeratungInformation EngineeringData GovernanceSteuerungInfrastrukturPythonMachine Learning
I help development teams and organizations turn AI concepts into production-ready systems.
My strength lies in bridging the gap between cutting-edge AI research and practical software delivery — enabling teams to build reliable, scalable AI products faster and with less risk.
As an AI Solution Architect & Consultant with over 15 years of hands-on experience, I focus on designing secure, high-impact AI platforms for enterprises — particularly AI Agent systems based on LLM and RAG workflows — while ensuring robust data protection and governance compliance.
Core Competencies
AI Strategy & Consulting
AI use case discovery • Feasibility & ROI analysis • Executive guidance • Responsible AI & data governance • AI adoption roadmaps
Architecture & Engineering
AI agent frameworks (MS Copilot Studio, Pydantic Agents, LangChain) • LLM & RAG systems • Vector databases (Qdrant, MS AI Search) • Model fine-tuning & serving (axolothl, unsloth, vLLM, TGI) • Cloud-native & scalable microservice architecture • Python • R • Matplotlib • Java
MLOps & Cloud
AWS • Azure • Kubernetes • Docker • Terraform • SageMaker • MLFlow
Data Engineering & Infrastructure
Data pipelines • Workflow orchestration • Spark • Airflow • Redis • OpenTelemetry • FastAPI
Leadership & Team Enablement
Tech leadership • Mentoring & training • Outcome-focused product development • Cross-functional collaboration
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischgut
Projekthistorie
Designing and building a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
Optimized LLM based data extraction and classification with context engineering.
Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
In my position as an AI Solution Architect at CANCOM Austria AG, I work closely with a development team to create a multi-agent platform that serves as a framework for implementing various internal and external LLM use cases. My responsibilities include:
- Designing and implementing a robust multi-agent system architecture.
- Developing a microservice architecture using Python.
- Leveraging Azure AI Search for efficient information retrieval.
- Harnessing the power of Azure AI for LLM inference.
As an AI Consultant at Kapsch TrafficCom AG, I am responsible for identifying business processes that can benefit from cutting-edge AI technologies like LLMs (Language Model Models) to enhance capabilities and reduce costs. My role involves:
- Analyzing the potential of LLMs in existing business processes.
- Evaluating and estimating the technical feasibility and effort required to implement prototypes.
- Identifying innovative use cases for LLMs to drive business growth and efficiency.