Principal AI/ML Scientist & Engineer
Core
Lead a team of Applied Scientists and AI/ML Engineers to build intelligence within an AI-native CRM, focusing on autonomous agentic workflows and real-time reasoning engines for structured and unstructured data.
Role type
Principal AI/ML Scientist & Engineer (Technical Leader/Builder-Scientist)
Builds
Autonomous agentic workflows, real-time reasoning engines, and production-grade AI/ML solutions for an AI-native CRM.
Domain
Enterprise CRM, AI/ML, Large Language Models (LLM), Agentic Systems
Deliverable
production ML models | product features
Required skills
Technical leadership and team mentoring, agentic system orchestration (e.g., LangGraph), RAG architectures, vector databases, deep learning and model optimization, cloud infrastructure (AWS/GCP), distributed systems, data engineering (batch pipelines, feature stores, Kafka), product sense and business awareness.
Preferred skills
Experience with modern AI engineering stacks, ability to balance scientific rigor with iterative shipping, influence without authority.
Technologies
LangGraph, vector databases, AWS, GCP, Kafka, container orchestration.
Responsibilities
Lead and mentor a team of Applied Scientists and AI/ML Engineers, define technical strategy for AI/ML solutions, design autonomous agentic workflows and reasoning engines, partner with the AI Platform team on LLMOps, act as a technical authority on the AI engineering roadmap, lead as a high-impact individual contributor on critical systems.
Seniority
Principal, hands-on IC with leadership responsibilities
