Data Scientist Senior Consultant II
Core
Design and build AI-driven Insight Studio for the Scholar product, transforming large-scale customer conversations into actionable, real-time insights.
Role type
Senior IC machine-learning engineer (LLM/RAG/AI agents)
Builds
Production-grade AI systems for conversational understanding, summarization, classification, and insight generation
Domain
Insurance / Generative AI / LLMs
Deliverable
production ML models
Required skills
Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector search and embeddings, AI agents, MLOps/LLMOps, Prompt engineering, AWS Bedrock, LangChain, LangGraph
Preferred skills
Amazon SageMaker, Microsoft Fabric, Datadog, AWS CloudWatch
Technologies
Python, LangChain, LangGraph, LlamaIndex, AWS Bedrock, Amazon SageMaker, AWS Lambda, AWS S3, AWS ElastiCache, Datadog, CloudWatch, Vector databases
Responsibilities
Translate complex business problems into end-to-end AI solutions; Design, build, and operate production-grade AI systems for conversational understanding; Architect and implement RAG pipelines; Build and optimize vector search and embeddings-based systems; Design and implement AI agent workflows; Apply prompt engineering and LLM orchestration techniques; Integrate foundation models via AWS Bedrock; Build and maintain scalable data pipelines; Own end-to-end lifecycle of AI/ML solutions; Implement MLOps and LLMOps practices; Monitor and optimize AI systems using observability tools.
Seniority
Senior, hands-on IC