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 3+ years of experience in the Financial services industry in an Engineering role that requires knowledge of investment workflows and products, along with a Bachelor’s level education with a focus on engineering.
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 is an individual contributor with 3+ years in financial services engineering, knowledge of investment workflows, and the ability to scale AI research to production while partnering across research, data, and central AI teams.