You design and implement advanced AI systems, develop data architectures, and optimize deployment pipelines. Your role includes evaluating new technologies, ensuring compliance with regulations, and presenting strategic recommendations.
Anforderungen
- •Master's degree in Computer Science
- •5 years of experience in AI/ML solutions
- •Experience in large-scale AI systems
- •Programming skills in Python
- •Knowledge of MLOps and GenAIOps
- •Very good knowledge of English
Deine Aufgaben
- •Design and implement scalable AI systems.
- •Develop robust data architectures for AI workloads.
- •Optimize MLOps and GenAIOps pipelines.
- •Evaluate and integrate latest AI technologies.
- •Present technology recommendations to management.
- •Conduct workshops to analyze AI requirements.
- •Develop reusable AI solutions and blueprints.
- •Ensure compliance with regulatory requirements.
Original Beschreibung
# GEN AI Architect (f/m/d)
**Weinheim** | **Full time**
# Responsibilities:
* Design and implementation of scalable, robust AI systems, including data pipelines, ML models and generative AI applications, using cloud-native architectures (Azure, AWS, GCP).
* Development of powerful data architectures (data lakes, data warehouses, vector databases) to support AI/ML workloads.
* Development and optimization of MLOps and GenAIOps pipelines for efficient model deployment and monitoring.
* Evaluating and integrating the latest AI technologies, including large language models (LLMs), computer vision and reinforcement learning.
* Presenting strategic technology recommendations to senior management to help shape AI strategy and investment decisions.
* Conducting technical workshops and deep-dive sessions to analyze complex AI requirements and develop actionable strategies.
* Developing reusable AI solutions, including reference architectures and generative AI blueprints.
* Ensuring compliance with current regulatory requirements, in particular the EU AI Act.
# Qualifications:
* Completed Master's degree in Computer Science, Artificial Intelligence or a related field.
* Ideally 5 years of experience in architecting AI/ML solutions, data science or related field.
* Proven experience in designing and implementing large-scale AI systems in cloud environments (Azure, AWS, GCP).
* Profound programming skills in Python as well as experience with AI/ML frameworks (TensorFlow, PyTorch, LangChain etc.).
* Extensive knowledge of MLOps and GenAIOps principles and tools.
* Very good knowledge of English required; knowledge of German is an advantage.