Designs and implements AI architectures based on client needs
Strategically utilizes the in-house data center as a platform for customer AI workloads
Collaborates closely with international teams of data scientists, engineers, and infrastructure specialists
Aligns AI solutions with compute, storage, and network capacities across private, hybrid, and public infrastructures
Makes strategic choices in AI tools and technologies with a focus on open source and scalability
Supports MLOps implementations, CI/CD, data pipelines, and lifecycle management
Contributes to AI governance, reliability, and solution scalability
Keeps up with the latest developments in AI, hardware acceleration, and infrastructure
Assists clients in leveraging AI at an enterprise level
Requirements:
At least 10 years of experience as an AI Architect or in a comparable technical AI role
Experience developing AI solutions for clients in an enterprise environment
Experience working in an international context with cross-functional teams
Experience with AI hardware and solutions from NVIDIA, IBM, and HPE is a plus
In-depth knowledge of open-source AI frameworks such as TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, etc.
Familiarity with containers and orchestration tools like Docker and Kubernetes
Understanding of data governance, security, and compliance in AI projects
Strong communication skills and a client-oriented mindset
Excellent command of the English language, both spoken and written
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Technical Architect Employement Type: Full time