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Job summary
A leading tech company located in the Bay Area is seeking an experienced AI/ML Architect specialized in customer segmentation. The ideal candidate will have a unique blend of classic AI/ML skills along with expertise in Agentic AI to lead the development of production solutions. This role demands excellent communication abilities to facilitate discussions and align distributed teams. Familiarity with AI platforms like Vertex.ai and Gemini is considered a significant advantage for this hybrid position.
Qualifications
Experience in AI/ML based seller enablement or customer intelligence use cases.
Hands-on experience with logistic regression and tree-based models.
Ability to narrate insights and align teams effectively.
Responsibilities
Deliver production solutions leveraging AI/ML and Agentic AI expertise.
Lead technical discussions and present architecture documents.
Align distributed development teams across US and India.
Skills
Agentic AI expertise
AI/ML architectures
Boosting/ensemble methods
Excellent communication
Tools
Vertex.ai
Gemini
Job description
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