AI Engineering Lead: Scalable AI & Cloud Solutions

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

Job summary

Riskdata Consulting seeks a Lead AI Engineer (Agentic AI & Applications) to design, develop, and deploy scalable AI-powered products that translate business needs into measurable value using modern AI frameworks and cloud technologies.

The role focuses on leading analytics, building AI-powered agents, and driving end-to-end product lifecycle with a strong emphasis on cloud-native architectures and automation.

Qualifications

• Experience designing and deploying AI-powered solutions in production environments.
• Familiarity with data platforms and analytics tools listed in the requirements.
• Strong collaboration with cross-functional teams and agile delivery.

Responsibilities

• Lead the development of AI-driven solutions from concept to production.
• Design and deploy scalable AI products leveraging agentic AI frameworks.
• Build and maintain AI-powered agents and applications across cloud platforms.
• Apply cloud architecture principles to frontend and backend systems.
• Automate engineering workflows with reusable components and tooling.
• Ensure quality through functional, integration, and performance testing.
• Collaborate with tech teams to architect cloud-based AI agents.
• Translate business requirements into technology solutions using Agile methods.
• Support end-to-end product lifecycle including roadmap, deployment, and monitoring.

Skills

AI/ML expertise

Cloud & data platforms

Agile methodologies

Leadership & collaboration

Tools

Databricks

Snowflake

Dataiku

n8n

Power Automate Copilot

Northflank

GovTech tools

Job description

Riskdata Consulting seeks a Lead AI Engineer (Agentic AI & Applications) to design, develop, and deploy scalable AI-powered products that translate business needs into measurable value using modern AI frameworks and cloud technologies.

The role focuses on leading analytics, building AI-powered agents, and driving end-to-end product lifecycle with a strong emphasis on cloud-native architectures and automation.