Cloud AI Engineer

Quick Facts

Cloud AI Engineer responsible for defining AI architecture standards and overseeing AI platform design in Google Cloud and IBM watsonx.

Description

Define architectural standards, implementation patterns, and best practices for AI solutions within the organization. Design and oversee AI solution and AI platform architecture in Google Cloud and IBM watsonx environments, and analyze new services and technologies in the areas of Google Cloud, GenAI, Agentic AI, and watsonx. Conduct technical architecture reviews and support cloud migration projects, collaborate with developers and stakeholders, and deliver required architecture, system, and user documentation.

Requirements

• Minimum 3 years of IT experience, including 1 year in a similar role (telecom sector is an advantage)
• Knowledge of public cloud technologies and infrastructure (primarily Google Cloud)
• Basic knowledge of IBM watsonx (watsonx.ai, watsonx.data, watsonx.governance) or willingness to build competence
• Interest and desire to develop in AI, GenAI, Agentic AI, and cloud architecture
• Advantage: knowledge of Vertex AI, Gemini, RAG, or other AI platforms
• Knowledge of Terraform, CI/CD, and GitOps
• Ability to specify systems and create clear technical documentation
• Good communication and collaboration skills; ability to share knowledge
• English at a communicative level, with comfort using technical documentation

Benefits

• Employment contract or B2B
• Hybrid work model
• Access to a training platform
• Benefits package: Multisport card, LuxMed medical care, life insurance, employee offers
• Co-financing for activities organized by sports and thematic sections