Responsible for accelerating our embedded AI solutions journey across our platforms by building foundational AI capabilities and reusable patterns
Job Summary
Responsible for accelerating our embedded AI solutions journey across our platforms by building foundational AI capabilities and reusable patterns.
Lead the design and implementation of agentic and conversational AI solutions, defining and delivering AI strategy and roadmap execution.
Partner with Product Development as a GenAI SME and architect, developing scalable, resilient, ethical AI solutions aligned with responsible AI principles.
Matching Summary
Responsible for accelerating our embedded AI solutions journey across our platforms by building foundational AI capabilities and reusable patterns.
Skills & Requirements
Must-have
Machine Learning Lead Analyst
embedded AI solutions
LLM/Agentic capabilities
modern AI/ML and GenAI solutions
Python for AI services
LLMOps practices
Nice-to-have
thrives in ambiguity
go above and beyond attitude
healthcare experience preferred
production governance for responsible AI
Key Requirements
5-8 years of experience
Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related coursework
Proven experience designing and developing large-scale enterprise application solutions
Hands-on experience engineering solutions in cloud environments
Demonstrated ability to lead architecture decisions