AI Engineering Lead: LLMs, RAG & Responsible AI

RSM - Singapore; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

RSM - Singapore is seeking a Manager, AI Engineering to lead a small team of AI engineers, remaining hands-on and ensuring quality, reliability, and responsible AI use. You will translate business needs into practical AI solutions and deploy LLM-based workflows with API delivery aligned to CI/CD standards.

You will define evaluation and governance for AI outputs, ensure data security, build data pipelines, and collaborate with stakeholders to drive adoption across audit and firm processes.

Qualifications

• Degree in Computer Science, Data Science, Statistics, Mathematics or related field.
• 5+ years building and deploying ML solutions in production.
• 2+ years hands-on experience developing LLM-based workflows.
• Experience leading engineers or technical teams.
• Strong Python, SQL and ML libraries with LLM frameworks knowledge.
• Experience with LLM evaluation, vector search and cloud AI services.
• Good communication and governance awareness; regulated environment experience a plus.

Responsibilities

• Lead, coach and develop AI engineers; set priorities and allocate work.
• Translate business needs into practical AI solutions and deploy APIs.
• Define evaluation and governance for AI outputs with human-in-the-loop controls.
• Build and maintain data pipelines with traceability to data sources.
• Collaborate with stakeholders to align priorities and support adoption.
• Track AI research and bring promising approaches into production.

Skills

Team leadership

Communication

Stakeholder mgmt

Hands-on AI eng

Python

SQL

LLM workflows

ML libraries

LangChain

LangGraph

Cloud AI

Data governance

Education

Degree in Computer Science, Data Science, Statistics, Mathematics or related field

Tools

PyTorch

scikit-learn

Azure OpenAI

Azure AI Search

Job description

RSM - Singapore is seeking a Manager, AI Engineering to lead a small team of AI engineers, remaining hands-on and ensuring quality, reliability, and responsible AI use. You will translate business needs into practical AI solutions and deploy LLM-based workflows with API delivery aligned to CI/CD standards.

You will define evaluation and governance for AI outputs, ensure data security, build data pipelines, and collaborate with stakeholders to drive adoption across audit and firm processes.