AI Architect

• More than 5 years of experience in technological and cloud architecture.
• Demonstrable experience in Microsoft Azure.
• Advanced knowledge of Databricks.
• Experience in enterprise data and analytics platforms.
• Knowledge of distributed architectures, APIs, and microservices.
• Experience in DevOps, CI/CD, and Infrastructure as Code (Terraform, Bicep, or equivalent).
• Knowledge of cloud security and integration with corporate environments.

• Experience with Azure OpenAI, AI Foundry, Cognitive Services, and generative AI services.
• Experience in RAG architectures, AI agents, and multi-agent systems.
• Knowledge of Kubernetes and containerized environments.
• Experience in MLOps, LLMOps, and model governance.
• Microsoft Azure Architect or Databricks certifications.

What is it like to work at Deloitte?

🤩 High-impact projects where you will have a long career and learning path

☯️ Hybrid-flexible day-to-day: you will have flexible hours and a good balance between remote work and teamwork in our offices or those of our clients

⚽ Good atmosphere inside and outside the office: you will enjoy several team-building activities per year, cultural and sports activities... and much more!

🧘♀️ Comprehensive well-being: take care of yourself with our physical, mental, and financial health program... and with a medical team in the offices!

🤲 Social impact: You can sign up for a large number of national and international volunteering opportunities and pro-bono projects to put your time and talent at the service of those who need it most

🗣️Feedback and continuous learning culture: you will grow in an inclusive environment where equal opportunities and your personalized training plan will boost your development. Can you already see yourself at the Deloitte University in Paris?

🤝 Exclusive benefits for being part of Deloitte: you will be able to enjoy a wide catalog of benefits and a comprehensive flexible compensation plan

Imagine yourself participating in the transformation of the leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and you.

The IT Architecture Expert with AI Focus will be responsible for designing, defining, and evolving the infrastructure layer and technological architecture that enables the organization's Artificial Intelligence capabilities. They will act as a technical reference in the construction of enterprise AI platforms, ensuring scalability, security, resilience, and alignment with the corporate technology strategy.

This profile will combine advanced knowledge of enterprise architecture, cloud platforms, and data ecosystems with specific experience in AI services, MLOps, and development platforms based on Azure and Databricks.

Build and evolve the Enterprise AI Infrastructure Layer, providing a robust, secure, and scalable technological platform that enables the acceleration of Artificial Intelligence, Advanced Analytics, and Generative AI-based solutions throughout the organization.

• Design the target architecture of the corporate AI platform.
• Define the technological components necessary to support AI, GenAI, and intelligent agent use cases.
• Establish reference architectures for development, testing, and production environments.
• Ensure the integration of AI solutions with existing corporate systems.
• Design and evolve architectures based on Microsoft Azure.
• Define architecture patterns for data and artificial intelligence platforms using Azure and Databricks.
• Design solutions for batch, streaming, and real-time processing.
• Ensure the scalability and cost optimization of technological platforms.
• Define MLOps, LLMOps, and AgentOps capabilities.
• Design pipelines for training, deployment, monitoring, and model governance.
• Establish standards for observability, monitoring, and the lifecycle management of AI models.
• Collaborate with Data Science, AI Engineering, and DevOps teams to industrialize solutions.
• Define secure architectures for model and data consumption.
• Ensure compliance with cybersecurity, privacy, and data governance standards.
• Design access control, encryption, auditing, and traceability mechanisms.
• Promote the adoption of Responsible AI and AI Governance principles.
• Act as an architectural reference in strategic AI programs.
• Lead architecture reviews and technological decisions.
• Evaluate new technologies and market platforms.
• Contribute to pre-sales activities, offer definition, and technological roadmaps.

• Strategic vision and end-to-end design capability.
• Architectural thinking and orientation toward standards.
• Technical leadership and influence over multidisciplinary teams.
• Ability to communicate complex concepts to technical and business audiences.
• Results-oriented mindset and commitment to continuous improvement.
• Ability to work in complex environments and technological transformation.