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State Street is seeking an AVP for its Business Solutions team in Bengaluru to design and implement AI/ML and Generative AI solutions that boost operational efficiency and user experience in finance services. You will lead the development of agentic workflows, integrate LangChain/LangGraph, and build robust Python-based data pipelines.
The ideal candidate has 14–18 years in technology with 5+ years in AI leadership, deep Python proficiency, and hands-on experience with LLMs, RAG, and automation
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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Job ID: R-798174