Principal AI/ML Architect
Core
Senior technical leader and trusted advisor for client engagements, designing and delivering production-grade GenAI systems including agentic workflows, conversational copilots, and high-performance search/recommendation solutions.
Role type
Principal AI/ML Architect (Client-Facing, Agentic AI)
Builds
Production-grade GenAI systems, agentic workflows, conversational copilots, and large-scale search/recommendation platforms
Domain
Applied Machine Learning, Generative AI, Agentic Systems, Search & Recommendation (via careerplan.io/jobs/4986438101-principal-aiml-architect-at-tensorops)
Deliverable
production ML models
Required skills
Python, Large Language Models (LLMs), Agentic design patterns, Classical Machine Learning, MLOps, Cloud Infrastructure (AWS/GCP), Software Architecture, Project Management, Client Stakeholder Management
Preferred skills
Experience with LangChain/LangGraph, Learning to Rank (LTR), RAG pipelines, Fine-tuning
Technologies
Python, FastAPI, Docker, TensorFlow, LightGBM, CatBoost, LangChain, LangGraph, Langfuse, LlamaIndex, MLFlow, Kubeflow, AWS, GCP
Responsibilities
Lead technical strategy and architecture for client projects, manage client engagements as primary technical point of contact, lead and mentor engineering teams, drive innovation in agentic workflows and multi-agent systems, oversee the full project lifecycle from discovery to deployment
Seniority
Principal, hands-on IC with strategic leadership
