AI Solutions Architect

FH Campus Wien
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German

Job location

Tech stack

Artificial Intelligence
Cloud Computing
Prometheus
Grafana
Slurm
Machine Learning Operations

Job description

  • You are responsible for the architecture and design end-to-end AI solutions, covering model development, data pipelines, evaluation, MLOps, and trustworthy AI.

  • You define and evolve the architecture and service portfolio for AI infrastructure and applications in collaboration with partner organisations, industry, and public institutions.

  • You develop reference architectures and workflows (e.g., LLM fine-tuning, RAG pipelines, AI agents) and provide technical guidance for implementation in partner projects.

  • You ensure seamless integration of AI services across hybrid cloud and HPC environments, focusing on scalability, performance, and reliability.

  • You embed trustworthy AI principles into system design - addressing transparency, bias, privacy, and compliance with the EU AI Act.

  • You collaborate with data scientists and domain experts to translate user needs into robust technical architectures.

  • You contribute to documentation, best practices, and training materials to support adoption and knowledge transfer.

  • You ensure the sustainable implementation and exploitation of results (e.g., patents, licenses, company formation, technology transfer).

  • When necessary, you represent AI Factory Austria in national and international expert committees, networks, and conferences, significantly contributing to the visibility and reputation of Austria as an AI hub.

Requirements

  • Completed degree (Master's/PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Several years of experience in AI architecture, AI/ML solution design, and scalable MLOps environments
  • Strong understanding of AI frameworks (e.g., PyTorch, TensorFlow), data pipelines, and cloud/HPC infrastructure
  • Proven practical experience in MLOps: Docker/Kubernetes, GitOps, MLflow/Kubeflow, observability stacks (Prometheus/Grafana, ELK)
  • Experience with HPC schedulers (e.g., SLURM) and hybrid cloud architectures
  • Practical experience with Responsible-AI-Frameworks and the EU-AI-Regulations
  • Experience with research and industry projects and/or knowledge of funding mechanisms and project financing is advantageous
  • Collaborative mindset and enthusiasm for working across disciplines and organisations
  • Excellent language skills in English, German would be an advantage
  • You should be eligible for working in Austria

Benefits & conditions

  • Excellent research and technology foundation as well as a dedicated team to implement innovative ideas.
  • Significant opportunities for shaping your work and short decision-making paths within an open, agile organizational structure.
  • Close collaboration with leading national and international partners as well as access to unique AI and HPC infrastructure.
  • The gross annual salary starts at EUR 59.934,-- as a minimum according to the non-university collective agreement. The actual total salary package is determined individually according to your qualifications and experience.
  • The position is funded by the AI Factory Austria until June 2028. An extension beyond this period may be possible depending on future project developments.

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