Role:-
AI/ML Architect with Customer Segmentation.
Location: Bay Area, CA/Hybrid
Job
Summary
A
combination of classic AI/ML and Agentic AI expertise in
architectural/lead roles delivering production solutions
Some
prior experience in AI/ML based seller enablement or customer intelligence
use cases like segmentation, propensity, cross-sell/upsell,
win-probability, churn, etc.
Hands-on
with boosting/ensemble methods, logistic regression, tree-based model etc.
Demonstrated
expertise in Agentic AI: agent orchestration (planner/executor), tool
use/function calling, NL2SQL, RAG, NL2AI/ML pipelines and guardrails.
Expertise
in combining autonomous agents for information extraction
Exposure
to AI/ML, Agentic AI platforms from GCP (like Vertex.ai, Gemini etc.) huge
plus
Excellent
communication: ability to lead technical discussions, presentations, write
clear architecture docs, narrate insights, and align execs C distributed
dev teams across US and India