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Principal AI Engineer (m/f/x) - Industrial AI Engineering

Appliedai · München (81671)

Publicada em 24/09/2026

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About usThe appliedAI Initiative elevates Europe’s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe.Your missionIn every industrial company there is a problem the engineers have stopped raising, because everyone agrees it cannot be solved. A design that takes three days to validate. A variant that has to be quoted before anyone has drawn it. Forty years of engineering knowledge sitting in files nobody can search. Those problems are our work, and this is the role that takes them on: the technical lead for AI across design, simulation and manufacturing, trusted by clients with the question nobody has answered yet.Your tasks will include:Setting the technical direction for our industrial AI portfolio across design, simulation and manufacturing, and deciding which approach a problem actually deservesTaking engineering problems that arrive badly defined and turning them into something that can be solvedCarrying the specialist authority in client projects, making the calls that decide whether a prototype becomes a system people rely onShaping new engagements with engineering and R&D leaders, from the first workshop to the signed proposalLeaving behind reference architectures, evaluation methods and accelerators t
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