Associate Director of Generative AI at Gilead Sciences leading AI initiatives across commercial functions. Developing and deploying Gen AI solutions to enhance healthcare outcomes while ensuring compliance with regulatory standards.
About the role
- Senior AI Architect designing and implementing complex AI infrastructures for DACH companies. Focused on Azure and hybrid architectures with an emphasis on secure and effective AI deployment.
Responsibilities
- Do you love not only designing sophisticated AI systems but also making them reliably productive in complex environments?
- Do you want to help companies in the DACH region use AI at scale, securely and effectively?
- Design and implement AI architectures in Azure, hybrid, and on‑prem environments
- Select, integrate and evaluate models, tools and frameworks (e.g., LLMs, RAG, embeddings, transformers)
- Build and evolve MLOps pipelines including CI/CD, deployment, monitoring and lifecycle management
- Operate container infrastructures (Docker, Kubernetes) and automate via Infrastructure-as-Code
- Integrate AI solutions into existing enterprise architectures (APIs, microservices, data platforms)
- Scale, performance and cost optimization for production AI systems
- Participate in pre-sales, workshops and customer presentations
- Ensure data protection, security, compliance and ethical standards in AI projects
- Rapid prototyping of new AI approaches and active contribution to our technology radar
Requirements
- Degree in Computer Science, Data Science, Mathematics or a related field
- Several years of experience in AI/ML projects and in architecture roles
- Knowledge of Azure (Azure ML, Azure Functions, Azure Kubernetes Service, etc.)
- Experience with hybrid / on‑prem solutions (private cloud, local infrastructure)
- Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
- Experience with LLMs, RAG, embeddings and prompt engineering
- Confident in using Docker, Kubernetes and infrastructure automation
- Experience with data pipelines, databases and big‑data technologies
- Routine in MLOps, model deployment, monitoring and versioning
- Very good German language skills (written and spoken) and residence in Germany
- Experience in distributed remote teams and working in a self‑organized way
Benefits
- Technical freedom: from architectural decisions to innovation experiments
- High‑impact projects: direct influence on business processes in mid‑sized DACH companies
- Remote‑first: flexible work with occasional client appointments or team meetings
- Training & conferences: access to new technologies, budget for training and exchange
- Pragmatism & impact: we focus on quality rather than hype
- Opportunities for personal and professional development
Job title
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FI
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