AI and GenAI Architect Consultant

• 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