AI and GenAI Architect Consultant

Jobtailor; Rennes; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Jobtailor in Rennes is seeking an AI & Data Architect to lead AI strategy for clients, focusing on MLOps, GenAI, and data architectures. You will identify use cases and shape roadmaps.

Bridge business and tech perspectives, facilitate workshops, and contribute to the AI offering. Mastery of LLMs, RAG, embeddings, and fine-tuning; cloud-native skills with Docker and Kubernetes for scalable, secure solutions.

Qualifications

• Understand business challenges and opportunities related to AI
• Assess existing systems
• Propose concrete, tailored solutions
• Support the implementation and industrialization of AI and GenAI solutions
• Mastery of LLM, RAG, embeddings, and fine-tuning concepts
• Familiarity with modern data architectures, including Data Platforms and Lakehouses
• Design of distributed architectures
• Experience with MLOps and solution industrialization

Responsabilités

• Identify relevant AI use cases
• Facilitate enterprise workshops
• Assess the existing landscape: data, information systems, architecture, and AI maturity
• Define AI and data roadmaps
• Design suitable AI and data architectures
• Recommend pragmatic solutions: build vs. buy, open source vs. vendor solutions
• Define robust and scalable architectures
• Work on GenAI topics, including LLMs, RAG, agents, and more
• Support solution implementation
• Structure MLOps and LLMOps approaches
• Ensure quality, performance, and security
• Manage or guide technical teams
• Identify new opportunities with clients
• Contribute to pre-sales activities
• Promote a clear vision and strong perspectives on AI
• Contribute to the development of the AI offering

Connaissances

AI use cases

MLOps implementation

Python programming

Cloud technologies

Workshop facilitation

Leadership

Client relationship management

Outils

Docker

Kubernetes

Open Source solutions

Description du poste

• Identify relevant AI use cases


• Facilitate business, IT, and data workshops


• Assess the existing landscape: data, information systems, architecture, and AI maturity


• Define AI and data roadmaps


• Design suitable AI and data architectures


• Recommend pragmatic solutions: build vs. buy, open source vs. vendor solutions


• Define robust and scalable architectures


• Work on GenAI topics, including LLMs, RAG, agents, and more


• Support solution implementation


• Structure MLOps and LLMOps approaches


• Ensure quality, performance, and security


• Manage or guide technical teams


• Identify new opportunities with clients


• Contribute to pre-sales activities


• Promote a clear vision and strong perspectives on AI


• Contribute to the development of the AI offering

Requirements

• Understand business challenges and opportunities related to AI


• Assess existing systems


• Propose concrete, tailored solutions


• Support the implementation and industrialization of AI and GenAI solutions


• Mastery of LLM, RAG, embeddings, and fine-tuning concepts


• Familiarity with modern data architectures, including Data Platforms and Lakehouses


• Design of distributed architectures


• Experience with MLOps and solution industrialization


• Python


• APIs and microservices


• Cloud, Docker, and Kubernetes


• Interest in open source


• Ability to bridge business and technical perspectives


• Strong workshop facilitation and client relationship skills


• Entrepreneurial mindset


• Ability to explain complex topics in accessible terms


• Autonomy and leadership

Core Competencies

Demonstrates expertise in defining and designing AI and data architectures, with a strong focus on MLOps and LLMOps approaches. Capable of bridging business and technical perspectives to propose tailored AI solutions and support their implementation.

Highest-signal resume keywords

• AI Use Case Identification


• MLOps Implementation


• Python Programming


• Cloud Technologies


• Workshop Facilitation

Hard Skills

• AI Architecture Design


• Data Roadmap Definition


• LLM Mastery


• RAG Understanding


• Distributed Architecture Design


• APIs and Microservices


• Data Platforms


• Lakehouses


• Solution Industrialization


• Fine-Tuning Concepts

Soft Skills

• Client Relationship Management


• Workshop Facilitation


• Entrepreneurial Mindset


• Complex Topic Explanation


• Leadership

Industry Keywords

• AI Maturity Assessment


• Data Architecture


• Business Challenges


• Technical Team Management


• Pre-Sales Activities

Tools & Technologies

• Cloud


• DockerKubernetes


• Open Source Solutions