Tasks
As a (Senior) AI Architect, you will play a key role in designing and implementing scalable, production-ready data and AI architectures. You will collaborate with data scientists, developers, IT teams, and business stakeholders to build secure, high-performing data infrastructures that drive enterprise-wide digital transformation.
The following tasks are waiting for you:
Cloud Architecture & AI Integration Consulting: Providing guidance on the design and integration of cloud infrastructures (Azure, AWS) and AI technologies
Architecture Development: Designing and implementing scalable Data & AI architectures, including Data Mesh and Lakehouse models, and driving the development of modern AI infrastructures.
Pipeline & MLOps Engineering: Collaborating with AI engineers and data scientists to build robust data pipelines, optimize MLOps/LLMOps workflows, and ensure smooth model deployment.
Governance & IT Security: Ensuring data quality, security, and compliance through data governance frameworks, system hardening, encryption, access control, and alignment with data protection regulations.
Mentoring & Team Development: Supporting the team in developing expertise in AI architecture through technical mentoring, knowledge sharing and leadership
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