Senior AI Solution Engineer

Job responsibilities

· Design, develop, and implement enterprise-grade AI- centric solutions.

· Collaborate with business units to analyze requirements and recommend AI solutions.

· Handle AI model development, deployment, and performance optimization across ML, LLM, RAG, or NLP scenarios.

· Evaluate and integrate third-party AI platforms like Azure OpenAI, Google Vertex, or Alibaba Cloud PAI.

· Build AI-related MLOps/DateOps pipelines to enhance automation and maintainability.

· Produce technical documentation, architecture diagrams, and internal training guides to ensure scalability and security standards.

· Stay ahead of emerging AI technologies to drive operational efficiency and customer experience improvements.

Job Requirements:

· Bachelor's degree or above in Computer Science, Data Science, Artificial Intelligence, or related disciplines.

· Minimum 5 years in solution design, system architecture, and AI application development.

· Proficiency in at least one AI framework such as PyTorch, TensorFlow, LangChain, or Transformers.

· Strong skills in Python, SQL, API integration and container-based deployment (Docker/Kubernetes).

· Hands-on experience with LLM applications and Prompt Engineering preferred.

· Excellent communication and project management skills for cost-functional collaboration.

· Practical experience with cloud platforms (Azure/AWS/Alibaba Cloud) highly regarded.

· Expertise in GenAI & LLM system integration.

· Familiarity with RAG frameworks, vector databases, or Knowledge Base integration.