Designs and delivers production AI agents, assistants, and automations across CRM and revenue systems. Owns Salesforce architecture, including Apex, Lightning Web Components, Flow, CPQ, security, integrations, and data models. Leads AI evaluation, cost management, monitoring, and ROI measurement. Integrates Salesforce with SAP, DocuSign, HubSpot, Snowflake, and AWS services. Manages DevOps releases, technical standards, Agile projects, user acceptance testing, adoption, and engineering mentorship.

Builds customer-facing data science capabilities from discovery through production. Responsibilities include data exploration, pipeline and data model development, statistical analysis, machine learning, experimentation, product integration, deployment, monitoring, and iteration. The role addresses classification, forecasting, recommendation, anomaly detection, optimization, clustering, and related problems while collaborating with product, engineering, customers, and domain experts.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.