Data Scientist Agentic AI / Graph/ LLM Science, AVP

Job Description

You will be joining State Streets AI/ML science team as a Data Scientist to work on the Agentic AI platform buildout. Your role will involve advancing LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development in close collaboration with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features. You will focus on applied research and product-oriented data science requirements, designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics, and operationalizing fine-tuning/tooling for business use cases.**Key Responsibilities:**- Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs.- Conduct LLM research and fine-tuning, including evaluating foundational models, fine-tuning, and prompt optimization with robust data curation and governance alignment.- Develop evaluation frameworks & taxonomies and work on Frontier model evaluation and buildout.- Create and maintain knowledge graphs and embeddings for semantic search and reasoning.- Implement an inference engine for scalable, low latency serving for tuned models, agentic workflows, and cost optimization.- Collaborate with engineering teams to deploy scalable AI solutions in production environments.- Conduct experiments and evaluations to benchmark model performance and ensure robustness.- Opportunity to research, document, and socialize findings.**Qualifications Required:**- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.- Minimum of 3 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 (e.g., Neo4j, RDF, DGL) and knowledge graph construction.- Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.- Prior work on agentic AI is a big plus.In addition to the job specifics, State Street is known for being one of the largest custodian banks, asset managers, and asset intelligence companies globally. They offer competitive benefits packages, flexible work programs, and development opportunities to help employees reach their full potential. State Street values inclusion, diversity, and social responsibility, welcoming candidates of diverse backgrounds and providing support for work-life balance and community engagement. You will be joining State Streets AI/ML science team as a Data Scientist to work on the Agentic AI platform buildout. Your role will involve advancing LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development in close collaboration with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features. You will focus on applied research and product-oriented data science requirements, designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics, and operationalizing fine-tuning/tooling for business use cases.**Key Responsibilities:**- Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs.- Conduct LLM research and fine-tuning, including evaluating foundational models, fine-tuning, and prompt optimization with robust data curation and governance alignment.- Develop evaluation frameworks & taxonomies and work on Frontier model evaluation and buildout.- Create and maintain knowledge graphs and embeddings for semantic search and reasoning.- Implement an inference engine for scalable, low latency serving for tuned models, agentic workflows, and cost optimization.- Collaborate with engineering teams to deploy scalable AI solutions in production environments.- Conduct experiments and evaluations to benchmark model performance and ensure robustness.- Opportunity to research, document, and socialize findings.**Qualifications Required:**- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.- Minimum of 3 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 (e.g., Neo4j, RDF, DGL) and knowledge graph construction.- Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.- Prior work on agentic AI is a big plus.In addition to the job specifics, State Street is known for being one of the largest custodian banks, asset managers, and asset intelligence companies globally. They offer competitive benefits packages, flexible work programs, and development opportunities to help employees reach their full potential. State Street values inclusion, divers

Keyskills :
NLPPythonData ScientistAIMLLLM researchPyTorchTensorFlowScikitlearnCloud platforms