- Partner with enterprise customers to understand business challenges and identify AI transformation opportunities
- Design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities
- Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning
- Work with customer engineering teams during implementation and production rollout
- Troubleshoot complex technical issues and optimise AI application performance in enterprise production environments
- Design scalable enterprise AI architectures using LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimisation, vector databases, API integration, workflow orchestration, and cloud-native AI services
- Collaborate with Product, Engineering, and Research teams to translate customer requirements into platform enhancements
- Develop reference architectures, implementation frameworks, sample applications, technical playbooks, and best practices
- Support strategic enterprise opportunities through technical proposals, architecture reviews, executive presentations, tender responses, and technical due diligence
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 optimisation, 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
- Self-driven with strong learning agility, curiosity for emerging AI technologies, and ability to thrive in a fast-paced customer-facing environment
Core Competencies
Demonstrates expertise in designing and implementing scalable AI solutions using Large Language Models (LLMs) and cloud-native architectures, while effectively collaborating with enterprise customers to address their business challenges. Proficient in technical communication and problem-solving within fast-paced environments.
Highest-signal resume keywords
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- AI Orchestration Frameworks
- Cloud-Native AI Architectures
Hard Skills
- Machine Learning
- Model Fine-Tuning
- Inference Optimization
- Vector Databases
- API Integration
- Solution Architecture
- MLOps
- Technical Consulting
- Enterprise AI Applications
- Cloud Computing
Soft Skills
- Customer-Facing Communication
- Analytical Skills
- Problem-Solving Skills
- Presentation Skills
- Learning Agility
Industry Keywords
- Technical Discovery Workshops
- Architecture Design
- Production Deployment
- Technical Validation
- Enterprise AI Capabilities
Tools & Technologies
- Tencent Cloud TokenHub
- MCP Ecosystem
- AI Agents
- AI Transformation
- Workflow Orchestration
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AI & LLM Solution Architect employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
