UST
Artificial Intelligence Engineer (AI Engineer Senior)
Skills
8 days ago
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Important information
Contract type:
Permanent
Location:
Singapore
Work mode:
Onsite
Published on:
15 October 2026
What they need
Role Description Join our AI Engineering team to architect and deliver enterprise-grade AI products, copilots, intelligent agents, and decision-support solutions for global Investment & Wealth Management clients.
What We're Looking For
- 7-10+ years of overall software engineering experience
- 3+ years of hands-on GenAI and AI Engineering experience
- Proven track record of delivering production-grade AI solutions at scale
- Expertise in AI Engineering, LLMs, Agent Frameworks, RAG, Python, and Cloud-Native Development
Strong Experience In
- Enterprise Software Architecture
- Data Engineering & MLOps
- API & System Integrations
- Security, IAM, and AI Governance
- Production-scale AI deployments
Domain Knowledge In
- Investment Operations
- Portfolio Management Workflows
- Trading & Fund Accounting Concepts
What You'll Do
- Design and build AI-powered solutions for investment operations and wealth management
- Develop Agentic AI, RAG architectures, knowledge retrieval systems, and workflow automation
- Lead AI application architecture, solution design, and technical decision-making
- Integrate LLMs with enterprise platforms, data sources, and business systems
- Implement AI observability, governance, evaluation, security, and monitoring capabilities
- Partner with domain SMEs to translate business requirements into scalable AI solutions
- Mentor AI engineers and support customer implementations and production deployments
Why Join Us?
- Work and build cutting-edge AI solutions with the global clients.
- Lead innovation in GenAI, Agentic AI, Copilots, and Enterprise AI Platforms.
- Mentor high-performing engineering teams and shape AI transformation initiatives
Skills GenAI, AI Engineering, LLMs, Agent Frameworks, RAG, Python, Cloud-Native Development, AI Governance, Agentic AI, AI products, copilots, Enterprise Software Architecture, Data Engineering, MLOps, IAM, AI Governance, AI deployments
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