Gen Ai Platform Architect

Summary

Join Xebia, a global leader in digital solutions, and become a key player in designing, developing, and optimizing cutting-edge GenAI products. Leveraging your 7+ years of enterprise architecture expertise and 2+ years of hands-on GenAI experience, you will contribute to mission-critical projects using Python, various GenAI libraries and frameworks, and cloud infrastructure (AWS). You will work in a Scrum environment, collaborate with a talented team, and stay at the forefront of GenAI advancements. This role requires strong programming skills, extensive cloud infrastructure experience, and a work permit within the European Union. Xebia offers a dynamic work environment focused on innovation and employee development.

Requirements

• Ready to start immediately
• 7+ years in architecture expertise for enterprise builds
• 2+ years of hands-on experience in designing Gen AI solutions
• Strong programming skills in Python and associated GenAI libraries and frameworks
• Strong knowledge of Generative AI technologies, including key APIs (AWS Bedrock, Azure OpenAI, OpenAI) and LLM frameworks (LangChain, LlamaIndex)
• Extensive experience with cloud infrastructure for AI/GenAI/ML on AWS
• Experience with containerization and orchestration technologies (Kubernetes, Docker)
• Work from the European Union region and a work permit are required

Responsibilities

• Designing, developing, and optimizing GenAI based products and solutions
• Preparing documentation of all designs and development
• Working in Scrum, attending Agile ceremonies and presenting the development work incrementally
• Contributing to mission-critical projects by utilizing backlog items and priorities set by the Product Owner
• Staying at the forefront of developments in GenAI
• Sharing insights and best practices within your team and across the organization to foster innovation and drive results

Preferred Qualifications

• Experience with LLM guardrails, security, and monitoring
• Expertise in LLM testing and evaluation frameworks