Applied AI & Data Product Scientist

What you'll do

• Research, prototype, evaluate, and productionize AI capabilities and LLM-based Finance solutions.
• Design data architectures and practices that improve data quality, lineage, observability, and reuse.
• Set the AI and data roadmap, measure product impact, and communicate recommendations to senior leaders.

What they ask for

• 8 years of experience in data science, AI/ML, analytics, or product engineering, with hands-on delivery of production AI or ML applications.
• Hands-on LLM experience, including prompt engineering, retrieval-augmented generation, function and tool calling, embeddings, vector stores, and evaluation frameworks.
• Strong Python and SQL fluency; experience operating production data and inference pipelines and practical expertise with cloud data platforms such as AWS, Snowflake, or Databricks.
• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, Finance, or a related quantitative field.

Nice to have

• Experience building multi-agent systems or autonomous workflows using LangGraph, LangChain, or LlamaIndex.
• Experience with semantic layers, data observability, experimentation programs, or generative AI safeguards and evaluation.

Pay

USD $147,250.00-$215,000.00 base salary

Tools

Python, SQL, AWS, Snowflake, Databricks, LangGraph, LangChain, LlamaIndex

AI focus

Develop and productionize LLM agents and AI-driven Finance products, including agentic workflows, multi-agent orchestration, retrieval-augmented generation, forecasting, evaluation, guardrails, and human-in-the-loop review.