TECHNICAL ARCHITECT

About Eviden

Eviden is a next-gen technology leader in data-driven, trusted and sustainable digital transformation with a strong portfolio of patented technologies. With worldwide leading positions in advanced computing, security, AI, cloud and digital platforms, it provides deep expertise for all industries in more than 47 countries. Bringing together 41,000 world-class talents, Eviden expands the possibilities of data and technology across the digital continuum, now and for generations to come. Eviden is an Atos Group company with an annual revenue of c. € 5 billion.

Eviden business is operated through the following brands: AppCentrica, ATHEA, Cloudamize, Cloudreach, Cryptovision, DataSentics, Edifixio, Engage ESM, Evidian, Forensik, IDEAL GRP, In Fidem, Ipsotek, Maven Wave, Profit4SF, SEC Consult, Visual BI, X-Perion. Eviden is a registered trademark. © Eviden SAS, 2025.

• Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies.
• Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions.
• Design and optimize AI architectures for performance, reliability, and cost-effectiveness.
• Establish best practices for AI model development, deployment, and monitoring.
• Ensure compliance with ethical AI principles, data governance, and security standards.
• Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers.
• Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem.
• Troubleshoot and resolve complex technical issues related to AI systems.
• Document architectural designs, technical decisions, and best practices for future reference.

• Bachelor’s or master’s degree in computer science, Data Science, or a related field.
• Extensive experience with GCP AI services and Gemini technologies.
• Strong understanding of AI architecture, machine learning, and optimization techniques.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with cloud-based AI solutions and MLOps practices is a plus.
• Familiarity with ethical AI principles and frameworks.
• Knowledge of data governance, compliance standards, and security protocols.
• Excellent problem-solving and analytical skills.
• Proven leadership and team management abilities.
• Ability to work in a fast-paced environment and manage multiple priorities.

Let’s grow together.