Here's a brief overview of the tasks and responsibilities you'll be able to do:

Identify and describe the functional and technological capabilities required to meet business needs in artificial intelligence;

Design end-to-end artificial intelligence solution architectures by determining the required applications, platforms, services, infrastructure components, data, and integration mechanisms;

Develop IT orientations and architecture files associated with artificial intelligence solutions and platforms;

Integrate functional and non-functional requirements into solutions, including security, availability, performance, resiliency, observability, scalability, and cost containment;

Contribute to the design, evolution and integration of enterprise artificial intelligence platforms and their technological foundations;

Define architectures that enable the secure integration of language models, generative AI services, AI agents, and enterprise data sources;

Determine the mechanisms for accessing AI models and services, including APIs and integration components adapted to modern architectures;

Develop solutions based on Augmented Generation by Recovery (RAG) and agentic architectures where they meet the needs;

Consider AI-ready data needs to enable reliable, governed, and secure use of data;

Collaborate with the various stakeholders to ensure the integration and industrialization of artificial intelligence solutions;

Incorporate security requirements by design, including data protection, identity, access control, secrets management, and securing interfaces and services;

Document solutions using schematics and architecture patterns that clearly present components, exchanges,



and dependencies;

Develop transition, co-location, migration and offload strategies when required;

Evaluate technology options and make recommendations based on their value, maturity, risks, security, performance, and integration with the existing technology ecosystem;

Effectively communicate directions and solutions to technical and business audiences;

Actively monitor the evolution of technologies, platforms and practices in artificial intelligence.

The Profile You Are Looking For Is As Follows

Have significant experience as a solution architecture consultant in an enterprise context;

Have concrete experience in the design and implementation of artificial intelligence solutions or platforms;

Have a good understanding of the different components of a modern artificial intelligence ecosystem;

Master the design and integration of generative and agentic artificial intelligence solutions;

Be familiar with language models, APIs, augmented recovery (RAG) generation approaches, and agentic architectures;

Demonstrate strong skills in architecture and integration of platforms, services, data and technology components;

Know how to take into account the requirements of security, availability, performance, resilience, observability, scalability and cost control;

Be able to design solutions that enable reliable, governed, and secure use of data;

Demonstrate excellent communication skills with technical and business stakeholders;

Possess a solid learning capacity in order to keep up with the rapid evolution of technologies and practices in artificial intelligence;

To know and apply the architectural and security norms and standards in force.

📌 Operations Solutions Architecture Advisor (Levis)
🏢 COFOMO
📍 Levis