Senior Data Scientist – Agentic AI / Graph/ LLM Science, Vice President
About the role
We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML science team as part of the Agentic AI platform buildout. The Science pillar advances LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features.
Responsibilities
- Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs
- LLM research and fine-tuning including evaluating foundational models, fine-tuning and prompt optimization with robust data curation and governance alignment
- Evaluation frameworks & taxonomies and Frontier model evaluation and buildout
- Develop and maintain knowledge graphs and embeddings for semantic search and reasoning
- 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
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field
- 5+ years of experience in applied machine learning or NLP
- Hands-on experience with LLM’s, 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
Benefits
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
Pay
$120,000 - $202,500 Annual
Schedule
Full-time