AISB-727 Senior Cloud & AI Platform Architect

Main Responsibilities

• Architect and implement secure and interoperable solutions using standard frameworks and design patterns, integrating applications and infrastructure to ensure scalability and efficiency.
• Develop robust, vendor-agnostic data platforms to support AI and machine learning workloads, optimizing multi-cloud environments for performance and flexibility.
• Design structured MLOps pipelines that automate and streamline the model lifecycle, from development to production deployment.
• Define security architectures that protect infrastructure and applications, aligned with risk management strategies and regulatory data protection and security standards.
• Continuously evaluate system performance and optimize scalability using advanced metrics and predictive analytics.
• Collaborate with cross-functional teams including AI developers, business analysts, and IT operations to ensure architecture aligns with business objectives and technological capabilities.
• Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments using Infrastructure as Code and configuration management tools.
• Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking.

Required profile

• Bachelor’s degree in Computer Science, Information Technology, or Systems Engineering.
• Minimum 15 years of experience in IT.
• Expertise in containerization and orchestration using Docker and Kubernetes for scalable application deployment.
• Expertise in network architecture design, particularly integrating distributed systems with hybrid cloud environments.
• Extensive experience with relational and non-relational databases, optimized for high-volume transaction processing (e.g., Oracle, PostgreSQL, MongoDB).
• Proficiency with advanced monitoring and observability tools such as Prometheus and Grafana.
• Experience with advanced load balancing solutions and caching technologies (e.g., Redis) to support high-traffic applications.
• Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube) and secure coding practices including encryption and identity management.
• Strong knowledge of version control systems such as Git and integration platforms like Jenkins or GitLab CI.
• Experience with distributed streaming and message queue technologies such as Kafka and RabbitMQ to manage data flows and support scalable data processing architectures.
• Proficiency in Infrastructure as Code tools such as Terraform and AWS CloudFormation.
• Familiarity with configuration management tools such as Ansible.
• Familiarity with AI-powered coding assistants (e.g., Amazon Q, GitHub Copilot) to accelerate development processes and improve developer productivity.

Languages:

• English: Professional proficiency required (C1 minimum)
• French: Considered an asset

Eligibility: EU27 citizenship required

Why join us?

By joining this project, you will contribute to the design and implementation of next-generation technology architectures focused on AI, data platforms, and multi-cloud environments.