Technical Architect - GCP AI (Gemini)

Atos is a global leader in digital transformation,European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index. 

 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space

Role Overview:

The Technical Architect has expertise in Google Cloud Platform (GCP) AI technologies, including Gemini. This role involves designing and implementing cutting-edge AI solutions that drive business transformation, scalability, and efficiency.

Responsibilities:

• Architect and implement 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 efficient architectures for AI applications, ensuring compliance with industry standards and best practices.
• Optimize AI workflows for performance, reliability, and cost-effectiveness.
• Establish and enforce best practices for AI development, deployment, and monitoring.
• Provide technical leadership and mentorship to teams working on AI projects.
• 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 and decisions for future reference.

Key Technical Skills & Responsibilities

• Strategic AI Leadership
• Advanced Model Development
• Google Cloud Architecture Mastery
• Data Science and Engineering
• Prompt Engineering Expertise
• Responsible AI Implementation
• Cross-Functional Collaboration
• AI Governance and Compliance
• Strategic AI System Design
• Programming Mastery - Python
• Multi-Agent Orchestration using Vertex AI Agent Builder
• Cloud Infrastructure Expertise (Vertex ML, Google Cloud API management)
• AI Governance and Compliance  - Ethical AI practices
• Integration and Interoperability
• Performance Optimization

Eligibility Criteria:

• Bachelor'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, design, and optimization.
• Proficiency in programming languages such as Python and Java.
• Experience with cloud-based AI solutions is a plus.
• Familiarity with ethical AI principles and practices.
• Knowledge of data governance and compliance standards.
• Excellent problem-solving and analytical skills.
• Proven leadership and team management abilities.
• Ability to work in a fast-paced environment and manage multiple priorities.