Leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our colleagues, patients and physicians
Job Summary
Leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our colleagues, patients and physicians.
As a Senior Manager, AI Solutions Engineer, you will be a hands-on technical expert and tech lead within the CAASE team charged with architecting, implementing, enabling, and testing AI solutions and reusable AI components.
Partner with cross-functional team to define best practices for reusable component architecture and engineering principles to identify and mitigate potential risks related to component performance, security, responsible AI, and resource utilization.
Matching Summary
Leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our colleagues, patients and physicians.
Skills & Requirements
Must-have
architecting and implementing AI/ML solutions
AWS cloud infrastructure
API and integration strategies
Python and SQL proficiency
Software Development Life Cycle (SDLC)
Nice-to-have
thought leadership and execution support
collaborative learning environment
innovative ideas of reusable & scalable development
Key Requirements
Bachelor’s degree in AI, data science, or computer engineering related area
7+ years of work experience in data science or AI solution engineering
Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)
Expert knowledge of backend technologies and API design principles