Senior AI Solution Architect for Enterprise LLM & RAG

Lenovo; Kampung Malaysia Tambahan; On-site; MYR 180,000 - 300,000; Full time

Job summary

Lenovo is seeking an experienced AI/ML architecture professional to lead enterprise-scale LLM, RAG, and Agent initiatives. You will design hybrid retrieval systems, orchestrate multi-tool AI agents, and implement standardized prompt engineering with NL2SQL capabilities.

The role emphasizes observability, cost optimization, and strong cross-team collaboration. You will contribute to scalable AI platforms, ensuring high availability and secure, compliant deployment across enterprise environments.

Qualifications

• Solid practical experience in end-to-end enterprise-level LLM, RAG and Agent projects.
• In-depth understanding of systematic prompt engineering and NL2SQL.
• Familiar with vector database engineering and hybrid retrieval optimization.
• Proficient in Databricks platform application and MLOps system construction.
• Experience in AI cost optimization, security compliance architecture, and technical debt governance.
• Strong business thinking and cross-team communication capabilities.

Responsibilities

• Research and implement enterprise-level RAG systems, build hybrid retrieval architecture, and fine-tune reranking models.
• Design and build complex AI agent orchestration platforms with multi-tool chaining and dynamic prompts routing.
• Develop standardized prompt engineering systems, NL2SQL solutions, and multi-turn dialogue intent clarification mechanisms.
• Build end-to-end observability for LLM apps, including prompt tracking and hallucination detection.
• Create reusable AI components and AB testing systems for RAG strategies, prompts, and agent logic.
• Optimize AI application costs via caching, vector storage tiering, and idle-powers scheduling.
• Govern AI technical debt with unified gateway standards and scalable deployment practices.
• Advance from POC to enterprise-scale architectures with high availability and scalable inference.

Skills

LLM systems

RAG integration

Agent orchestration

Prompt engineering

Observability

Cost optimization

Security compliance

Cross-team comms

Tools

Databricks

Delta Lake

Vector DB

MLOps

NL2SQL

Job description

Lenovo is seeking an experienced AI/ML architecture professional to lead enterprise-scale LLM, RAG, and Agent initiatives. You will design hybrid retrieval systems, orchestrate multi-tool AI agents, and implement standardized prompt engineering with NL2SQL capabilities.

The role emphasizes observability, cost optimization, and strong cross-team collaboration. You will contribute to scalable AI platforms, ensuring high availability and secure, compliant deployment across enterprise environments.