AI Architect

Job description

What awaits you: - Architectural design and ownership of a platform for hosting and operating a multitude GenAI use cases - End-to-end design and implementation of scalable, resilient, and secure services (microservices developed in Python, serverless, APIs, event-driven architectures) by using the best software design patterns and code guidelines - Selection, integration, and orchestration of GenAI components, including knowledge management, prompt/pipeline management, agentic workflows and tooling for efficient MLOps/AIOps practices. - Definition and establishment of engineering best practices covering data engineering, reusable service design, CI/CD for automated deployment and monitoring. - Close collaboration with global stakeholders, product owners, feature teams, and internal/external development partners to ensure seamless platform evolution. - Mentoring and technical leadership for engineering teams, guiding architectural decisions and contributing to mid and longterm roadmap planning. - Operational responsibility for running platform components in production, ensuring stability, security, compliance, and reliability. What Should You Bring Along: - Bachelor's Degree in Com...