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State Street seeks an Assistant Vice President for the Business Solutions team to design and deliver AI/ML and Generative AI solutions in Finance operations. You will lead agentic workflows for automation of reporting and data processing, and build LLM applications using LangChain and LangGraph with advanced Python data pipelines.
You will collaborate with stakeholders to convert business needs into AI-driven solutions while upholding data governance, security, and model risk management
We are seeking an Assistant Vice President (AVP) for our Business Solutions team at State Street. This role focuses on leveraging Python (advanced), Machine Learning, and Generative AI technologies to design and implement solutions that enhance operational efficiency, productivity, and user experience in the Finance services domain. The ideal candidate will have expertise in LLMs, RAG, Agentic AI, and automation frameworks, with strong leadership and solution architecture skills.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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