Foundation Engineering, Applied AI, Software Engineering Manager, Executive Director, Singapore
GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.
Singapore, Singapore
Not specified; not specified; not specified
Not specified (assumed to be hybrid based on industry standards).
Python programming and distributed systems
Ml lifecycle management and deployment
Ci/cd pipelines and observability
Goldman Sachs is seeking a Software Engineering Manager for their Applied AI team in Singapore, focused on enhancing AI/ML solutions across the firm. The ideal candidate should have a strong software engineering background and a deep understanding of the ML lifecycle, as well as experience leading engineering teams
Job Summary
The role involves leading engineering efforts to bridge applied science and platform engineering for scalable AI/ML solutions.
Success is measured by improved execution velocity, stronger ML production readiness, and repeatable engineering patterns.
The team partners with applied scientists and quantitative researchers to accelerate the full AI/ML lifecycle from experimentation to production.
Matching Summary
Match Score: 85
Goldman Sachs is seeking a Software Engineering Manager for their Applied AI team in Singapore, focused on enhancing AI/ML solutions across the firm. The ideal candidate should have a strong software engineering background and a deep understanding of the ML lifecycle, as well as experience leading engineering teams.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python programming and distributed systems
ML lifecycle management and deployment
CI/CD pipelines and observability
Team leadership in technical environments
MLOps tools like Kubernetes and Airflow
Nice-to-have
Experience with financial markets and trading
Knowledge of regulated environment governance
Background in quantitative research workflows
Familiarity with Spark, Ray, or Argo
Proven track record in scaling AI solutions
Key Requirements
Minimum 8 years of software engineering experience
Degree in Computer Science, Engineering, or related field
Proven experience leading engineering teams for ML platforms