About this role
Design, build, and validate agentic AI workflows while ensuring robustness, safety, and compliance with regulatory standards. Collaborate with cross-functional teams including data science, engineering, and risk to deploy AI solutions effectively.
Requires at least 3 years of experience in AI/ML engineering or model development with a strong understanding of LLM architectures and agentic systems. Proficiency in Python and modern AI frameworks is essential, along with experience in model evaluation and API integration.
What they're looking for
AI EngineeringMachine LearningLLM ArchitecturesAgentic AIPythonPySparkPyTorchTensorFlow
Frequently asked questions
What does a AVP/VP, AI Engineer, Data Management Office at SMBC do?
Design, build, and validate agentic AI workflows while ensuring robustness, safety, and compliance with regulatory standards. Collaborate with cross-functional teams including data science, engineering, and risk to deploy AI solutions effectively. Requires at least 3 years of experience in AI/ML eng…
What skills does this AVP/VP, AI Engineer, Data Management Office role need?
Key skills for this role include AI Engineering, Machine Learning, LLM Architectures, Agentic AI, Python, PySpark.
How much does a AVP/VP, AI Engineer, Data Management Office at SMBC pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this AVP/VP, AI Engineer, Data Management Office role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this AVP/VP, AI Engineer, Data Management Office role?
You can apply directly on SMBC's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.