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Design, prototype, and deploy agentic LLM systems and RAG pipelines. Evaluate models and orchestration tools (LangChain, LangGraph, CAMEL), build/optimize pipelines, integrate vector databases, collaborate across product/engineering/research, and provide technical guidance for scalable GenAI deployments.

Lead planning, scoping, and building of agentic AI systems using LLMs, RAG, orchestration tools, and vector databases. Conduct experiments on reasoning, planning, and memory; build and optimize pipelines (e.g., LangChain, LangGraph, CAMEL); collaborate across product, engineering, and research; provide tooling, infrastructure, and deployment recommendations; and support end-to-end delivery and knowledge transfer for scalable assistant deployments.

Lead and coach a data science team to design, develop, and deploy predictive and prescriptive analytics for business impact. Partner with senior leaders to identify opportunities, drive adoption of models, manage vendors, and establish data science methodology and best practices.

Lead and coach a data science team to design, develop, and deploy predictive and prescriptive analytics. Partner with business leaders to identify opportunities, drive adoption of models and insights, manage vendors, and establish data science methodology to deliver measurable business impact.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

The role involves leading data science initiatives, managing and mentoring teams, and creating data-driven solutions to enhance business objectives at Chamberlain Group.