Senior Data Scientist - AI Engineering

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We're looking for a Senior AI Data Scientist to design, build, and operationalize agentic AI systems for our customers marketing analytics practice. This is a hands-on engineering role focused on building production-grade LLM agents, tools, and pipelines — not a research or architecture-strategy role. You'll work as a data scientist to turn LLM/agentic capabilities into deployed, monitored, and reliable systems. Key Responsibilities: Design and build agentic AI systems — multi-step, tool-using agents that automate marketing analytics workflows (segmentation narratives, campaign insight generation, reporting, data QA). Develop and deploy Claude Skills, custom tools, and function-calling workflows to extend agent capabilities within defined guardrails. Build and maintain Retrieval-Augmented Generation (RAG) pipelines — chunking, embedding, vector store design, retrieval tuning, and grounding strategies for internal marketing/media data. Implement LLM-as-judge and other automated evaluation frameworks to score agent/model outputs for accuracy, hallucination, and consistency at scale. Own LLMOps/AIOps practices: prompt versioning, model/version rollout strategy, cost and latency monitoring, output drift detection, and automated regression testing for LLM pipelines. Apply MLOps discipline to AI systems — CI/CD for ML/LLM pipelines