AI Engineer Jobs in Graz

In this role, you will manage the cloud infrastructure for our AI applications, develop internal tools to optimize processes, and operate CI/CD pipelines for reliable AI deployments.

In this role, you design AI architectures, identify and develop AI solutions, conduct proofs of concepts, and lead technical projects for implementation in cloud environments.

In this role, you will develop AI-based Salesforce solutions for clients, define architectures, evaluate designs, and collaborate closely with sales teams on proposal creation and presales activities.

In this role, you advise clients on AI solutions, lead projects from definition to implementation, develop in Python or R, and navigate regulatory requirements like the EU AI regulation.

In this role, you will advise clients on data-driven AI solutions, develop use cases, and take responsibility for the entire implementation of AI projects, including regulatory compliance.

You design and implement AI architectures, develop solutions, manage technical projects, and assist in the acquisition of AI projects for cloud environments.

You design AI architectures from initial discussions through functional definitions to implementation - both on-premise and in the cloud. You select and classify suitable technologies through a holistic approach and implement Proof of Concepts (PoCs)...

In this role, you develop customized AI solutions on Salesforce, define architectures, advise on implementation, and support presales phases with proposal creation and estimations.

You advise our clients across various industries on data-driven solutions with a focus on artificial intelligence. You are proficient in new technologies and navigate through regulatory requirements such as the EU AI Act or the GDPR. You oversee the...

In this role, you will be responsible for implementing software and AI projects, creating epics and user stories, and coordinating a cross-functional team to develop innovative technical solutions.

In this role, you will develop a company-wide AI strategy, identify use cases, optimize Microsoft Copilot, create training materials, and manage projects from conception to implementation.

In this role, you will develop hardware accelerators for AI systems based on RISC-V architecture, analyze their performance, and implement prototypes on FPGAs while collaborating closely with colleagues and partners.