Data Scientist – Agentic AI/Graph/LLM Science

Responsibilities

• Own business-unit specific problem statements to deliver value using agentic AI workflows and domain-specific LLMs
• Conduct LLM research and fine-tuning, including foundational model evaluation, prompt optimization, and data curation
• Develop evaluation frameworks, taxonomies, and metrics for frontier model buildout
• Build and maintain knowledge graphs and embeddings to support semantic search and reasoning
• Design inference engines for scalable, low-latency serving of tuned models and agentic workflows
• Collaborate with engineering teams to deploy and operationalize scalable AI solutions in production environments
• Conduct experiments to benchmark model performance and ensure robustness

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• 5+ years of experience in applied machine learning or NLP
• Hands-on experience with LLMs, GenAI, or NLP at production scale
• Strong understanding of graph databases such as Neo4j, RDF, or DGL
• Proficiency in Python and ML libraries including PyTorch, TensorFlow, or Scikit-learn
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices

Preferred Qualifications

• Prior professional experience working specifically on agentic AI systems

About the Company

State Street is one of the largest custodian banks, asset managers, and asset intelligence companies in the world. We provide investment servicing, data and analytics, and investment management to institutional clients globally, helping them safeguard and steward investments for millions of people.