AI & LLM Solution Architect

Jobtailor; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Jobtailor seeks an enterprise AI Architect to partner with enterprise customers, identify AI transformation opportunities, and design end-to-end AI/LLM solutions using Tencent Cloud TokenHub, foundation models, AI Agents, MCP, and enterprise AI capabilities.

You will lead technical discovery workshops, architecture design, POCs, technical validation, and production deployment planning, working with customer engineering teams during implementation and production rollout to ensure scalable,

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
• Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting.

Responsabilités

• Partner with enterprise customers to understand business challenges and identify AI transformation opportunities.
• Design end-to-end AI and LLM solutions using Tencent Cloud TokenHub, foundation models, AI Agents, MCP, and enterprise AI capabilities.
• Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning.
• Work directly with customer engineering teams during implementation and production rollout.
• Troubleshoot complex technical issues and optimize AI application performance in enterprise production environments.
• Design scalable enterprise AI architectures incorporating LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimization, vector databases, API integration, orchestration, and cloud-native AI services.
• Collaborate with Product, Engineering, and Research teams to translate customer requirements into platform enhancements.
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices.
• Lead technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence.
• Serve as the technical bridge between customers and Tencent Cloud’s AI product organization

Connaissances

Generative AI

Large Language Models (LLMs)

AI Orchestration Frameworks

Cloud-Native AI Architectures

Customer-Facing Technical Consulting

Formation

Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering

Outils

Tencent Cloud TokenHub

AI Agents

MCP

Cloud Computing Platforms

Technical Playbooks

Reference Architectures

Implementation Frameworks

Observability Tools

Production Operations

Description du poste

• Partner with enterprise customers to understand business challenges and identify AI transformation opportunities
• Design end-to-end AI and LLM solutions using Tencent Cloud TokenHub, foundation models, AI Agents, MCP, and enterprise AI capabilities
• Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning
• Work directly with customer engineering teams during implementation and production rollout
• Troubleshoot complex technical issues and optimize AI application performance in enterprise production environments
• Design scalable enterprise AI architectures incorporating LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimization, vector databases, API integration, orchestration, and cloud-native AI services
• Collaborate with Product, Engineering, and Research teams to translate customer requirements into platform enhancements
• Develop reusable reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices
• Lead technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence
• Serve as the technical bridge between customers and Tencent Cloud’s AI product organization

Requirements

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline
• Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, MCP, model fine-tuning, inference optimization, vector databases, AI orchestration frameworks, API integration, and cloud-native AI architectures
• Experience developing or deploying enterprise AI applications on public cloud platforms
• Practical knowledge of multi-model AI orchestration, model deployment, inference services, observability, and production operations
• Strong customer-facing communication, presentation, analytical, and problem-solving skills
• Ability to translate complex business requirements into scalable AI solutions
• Excellent written and spoken English
• Proficiency in Chinese Mandarin
• Ability to collaborate with China headquarters on product discussions, technical design, and cross-functional initiatives
• Self-driven with strong learning agility and curiosity for emerging AI technologies
• Ability to thrive in a fast-paced customer-facing environment

Core Competencies

Demonstrates expertise in designing and implementing scalable AI solutions, particularly with Large Language Models (LLMs) and cloud-native architectures. Strong ability to translate complex business challenges into effective AI strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

• Generative AI
• Large Language Models (LLMs)
• AI Orchestration Frameworks
• Cloud-Native AI Architectures
• Customer-Facing Technical Consulting

Hard Skills

• Prompt Engineering
• Model Fine-Tuning
• Inference Optimization
• Vector Databases
• API Integration
• MLOps
• Solution Architecture
• Technical Validation
• Production Deployment
• Enterprise AI Applications

Soft Skills

• Customer-Facing Communication
• Analytical Skills
• Problem-Solving Skills
• Presentation Skills
• Learning Agility

Industry Keywords

• AI Transformation
• Technical Discovery Workshops
• Architecture Design
• Enterprise AI Capabilities
• Cross-Functional Initiatives

Tools & Technologies

• Tencent Cloud TokenHub
• AI Agents
• MCP
• Cloud Computing Platforms
• Technical Playbooks
• Reference Architectures
• Implementation Frameworks
• Observability Tools
• Production Operations