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Tenure-Track Professorship in Security, Society and the Global East
Universität Wien —Wien, W
This breadth provides a strong environment for a tenure-track position in Security, Society, and the Global East. Education and training (PhD Certificate, PDF).

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AI Innovation & Solution Engineer (f/m/d)

Austrian Institute of Technology -
Wien, W

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Details zur Stelle

Qualifikationen

Doktorat
Master

Vollständige Stellenbeschreibung

AI:AT – the AI Factory Austria – is making Austria a hotspot for Artificial Intelligence in Europe.

AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects.

AI:AT – the AI Factory Austria – provides access to cutting-edge AI infrastructure, promotes trustworthy AI and ethical standards, and serves as a hub for networking with national and European partners. The goal is to work with partners from industry and public institutions to develop and implement forward-looking AI technologies and viable AI solutions.

As part of the collaboration within the AI Factory Austria, the Austrian Institute of Technology will delegate experts to the AI Factory Austria. For our location in Vienna (Karl-Farkas Gasse, 1030) we are seeking a:

AI Innovation & Solution Engineer (f/m/d)

AI:AT AI FACTORY AUSTRIA

You design and deliver applied AI solutions - from understanding client needs and defining project scope to developing prototypes, proof-of-concepts and early MVPs in collaboration with interdisciplinary teams across different industry and startup contexts.
You actively contribute to innovation sprints and venture-building activities, working with startups, researchers, and domain experts to identify AI-driven opportunities and translate them into technically feasible concepts.
You ideate, prototype and validate AI solutions using agile and user-centered innovation approaches such as design thinking and iterative experimentation.
You develop end-to-end development of AI applications, and technical pipelines, applying your expertise in applied machine learning, data pipelines, model development, and engineering best practices.
You mentor and advise teams on the design, development, and optimisation of AI pipelines with a focus on applied machine learning, ensuring alignment with responsible AI practices and robust engineering practices.
You design and operate AI workflows including model training, retrieval-augmented generation (RAG), distributed training within scalable AI infrastructure across HPC and cloud environments and develop hands-on reference workflows (LLM fine-tuning, RAG pipelines, AI agents, MLOps templates) to support partner projects end-to-end.

You support the development and delivery of AI training formats such as workshops, technical tutorials, and knowledge-sharing sessions, helping to transfer expertise to startups, industry partners, and the internal ecosystem.
You ensure trustworthy AI practices by integrating considerations such as fairness, privacy, security, and regulatory compliance into the development process.
You collaborate with internal teams and external partners to capture insights from projects, document technical learnings, and contribute to the continuous improvement of AI services and innovation methodologies.
When appropriate, you support the representation of AI Factory Austria in workshops, innovation programs, and ecosystem activities, contributing to the visibility and impact of applied AI initiatives.

Your qualifications:

Completed degree (Master’s/PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field
Several years of experience in developing and operationalising ML/DL solutions (PyTorch, TensorFlow) on GPU/HPC systems
Proven Large Language Models (LLMs) and Generative AI, including retrieval-augmented generation (RAG), AI agents, prompt engineering, as well as domain-specific fine-tuning
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
Familiarity with Responsible-AI-Frameworks and EU-AI-Regulations
Strong expertise in at least one of the following areas: NLP, Computer Vision, time-series Analytics, Computational Audio Intelligence
Experience with prototyping, proof-of-concepts, or MVP development in an applied context
Good practices with agile and user-centered approaches
Experience working in collaborative, interdisciplinary environments and with external partners or stakeholders
Excellent language skills in German and English
You should be eligible for working in Austria

What to expect:

A key function in a visionary field of the future with high social and economic relevance.
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.
- 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.

At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions. Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants.

Please submit your complete application documents online, consisting of your CV, a cover letter, relevant certificates and documents, as well as a proof of identity.#LI-DNI (do not ingest)

Apply now!

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