Solutions Architect, AI/ML
SnowflakeFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 7+ years of experience in the Financial services industry in an Engineering role that requires knowledge of investment workflows and products, along with a Master’s level education with a focus on engineering, computer science, or statistics.
Key responsibilities include building AI engineering solutions (LLM and ML based) for production deployment, partnering with Research teams to scale proof of concepts to products, creating common tools and platforms, working with data engineering teams on datasets, and collaborating with central AI teams.
This information is not specified in the job description.
This information is not specified in the job description.
A strong candidate will have deep financial services engineering experience with investment knowledge, the ability to lead AI team setup, scale research to production, and build partnerships across research, data, and central AI teams globally.