Senior AI Solutions Engineer - GenAI & MLOps Leader

Charterhouse Partnership | Asia; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Charterhouse Partnership Asia is seeking a Senior AI Solutions Engineer to design, build and deploy enterprise-grade AI systems across GenAI, ML and agentic architectures for global mobility and transportation operations.

You will collaborate with data scientists, architects and product teams to deliver end-to-end AI solutions, embedding MLOps, FinOps and responsible AI practices throughout the lifecycle.

Qualifications

• 3+ years of hands-on AI/ML model development and production deployment.
• Experience building MLOps pipelines with CI/CD and cloud deployments.
• Strong knowledge of responsible AI practices and data privacy laws.

Responsibilities

• Design, prototype and deliver advanced AI systems for GenAI, ML, AI Agents.
• Build production-grade MLOps pipelines with CI/CD and monitoring.
• Develop, fine-tune and integrate LLMs and ML models into business apps.
• Design cloud-agnostic AI architectures across AWS, Azure, GCP and VMware.
• Apply FinOps principles to optimise cloud cost and performance.
• Embed governance and responsible AI practices into AI solutions.
• Define and track AI system KPIs with monitoring dashboards.
• Mentor junior engineers and foster internal AI community.

Skills

MLOps pipelines

CI/CD

Model monitoring

Drift detection

Cloud-native deployment

LLM fine-tuning

RAG pipelines

Vector search

Prompt engineering

Responsible AI

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or a related technical field

Tools

AWS

Azure

GCP

VMware

Docker / Containerisation

Job description

Charterhouse Partnership Asia is seeking a Senior AI Solutions Engineer to design, build and deploy enterprise-grade AI systems across GenAI, ML and agentic architectures for global mobility and transportation operations.

You will collaborate with data scientists, architects and product teams to deliver end-to-end AI solutions, embedding MLOps, FinOps and responsible AI practices throughout the lifecycle.