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State Street is seeking an experienced AVP - Agentic AI Engineer to lead the design and deployment of multi-agent workflows across cloud platforms. You will drive runtime standards, incident response, and align platform capabilities with product roadmaps while mentoring senior engineers.
The role requires deep expertise in agentic systems, event-driven architectures, and cloud-native DevOps practices, with leadership in technical hiring and cross-functional collaboration.
About the Role
We are seeking experienced and strategic professionals to join our GenAI Center of Excellence at State Street as Agentic AI Engineers at the AVP level. This opportunity is ideal for technical leaders with a strong background in architecting agentic systems and event-driven platforms. You will lead the definition and implementation of multi-agent workflow patterns, set runtime and SRE/DevOps standards, and partner closely with architects and product owners to shape the future of our agentic AI platform.
On-premise
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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