Senior AI Architect - Scalable MLOps & Trusted AI

AIT Austrian Institute of Technology GmbH; Wien; Vor Ort; EUR 66.000 - 81.000; Vollzeit

Zusammenfassung

AIT Austrian Institute of Technology GmbH seeks an experienced AI Architect to lead end-to-end AI solutions, spanning model development, data pipelines, evaluation, MLOps, and trustworthy AI. You will shape architecture for AI infrastructure and applications with partner organisations, and guide implementations across hybrid cloud and HPC environments.

You will work with data scientists and domain experts to translate needs into scalable, compliant architectures, develop reference workflows for

Qualifikationen

• Several years of AI architecture and scalable MLOps experience.
• Strong knowledge of AI frameworks, data pipelines, and cloud/HPC infra.
• Experience with MLOps tools and observability stacks.
• Familiarity with responsible-AI frameworks and EU AI regulations is a plus.
• Collaborative mindset across disciplines and organisations.

Aufgaben

• Architect and design end-to-end AI solutions including data pipelines and MLOps.
• Define architecture and service portfolio for AI infrastructure with partners.
• Develop reference architectures for LLMs, RAG pipelines, and AI agents.
• Ensure integration of AI services across hybrid cloud and HPC for scalability.
• Embed trustworthy AI, bias, privacy and EU AI Act compliance into design.
• Collaborate with data scientists to translate needs into robust architecture.
• Produce documentation, best practices, and training materials.
• Advance exploitation of results and contribute to technology transfer.
• Represent AI Factory Austria in national and international forums.

Kenntnisse

AI architecture

MLOps

Cloud & HPC

Cross-disciplinary collaboration

English proficiency

Tools

Docker

Kubernetes

GitOps

MLflow

Kubeflow

Prometheus

Grafana

ELK

SLURM

Jobbeschreibung

AIT Austrian Institute of Technology GmbH seeks an experienced AI Architect to lead end-to-end AI solutions, spanning model development, data pipelines, evaluation, MLOps, and trustworthy AI. You will shape architecture for AI infrastructure and applications with partner organisations, and guide implementations across hybrid cloud and HPC environments.

You will work with data scientists and domain experts to translate needs into scalable, compliant architectures, develop reference workflows for