AI Innovation & Solution Engineer; f​/m​/d

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:

• 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.
• Completed degree (Master’s/PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field
• Several years of experience in developing and ope rationalising ML/DL solutions (PyTorch, Tensor Flow) 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, Git Ops, MLflow/Kubeflow, observability stacks (Prometheus/Grafana, ELK)
• Experience with HPC schedulers (e.g., SLURM) and hybrid cloud…