- Location
- Hangzhou, China
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Closing date
- Today
- Source
- Workday
Description
In Global Delivery AI team, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.
Responsibilities:
Build end-to-end Agentic AI solutions - develop, refine, and implement advanced AI models and ensure the success delivery of Falcon project - https://statestreet.sharepoint.com/sites/falcon
Work on the integration of LLMs and LangChain into business process.
Utilize Python and other data manipulation languages to prepare and manipulate data.
Understand the business requirements and translate into Agentic AI solution design that successfully meets the business objectives.
Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
Stay current with technical and industry developments and standards to ensure effective and advance applications of data analysis techniques and methodologies, and of knowledge graph techniques and methodologies.
Qualifications:
Bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or related field, with a minimum of 3 years of experience.
Proven experience in end-to-end project delivery, preferably using agile or hybrid methodologies.
Strong proficiency in Python, JavaScript, or Java, with a focus on leveraging Code Copilot to accelerate development, enhance code quality, and boost productivity.
Knowledge or experience in designing and developing agentic systems, including LLM fine-tuning, context engineering, knowledge graph construction, and building highly scalable and resilient services etc.
Familiarity with cloud platforms (AWS, Azure).
Experience with structured and unstructured data systems such as AWS S3, Snowflake, Databricks.
Strong problem-solving and strategic thinking skills; highly self-motivated with a growth mindset.
Experience in any of the following is highly desirable:
Document Intelligence working experience
Proven software engineering experience in building cloud-native applications.
Proven hands-on experience of Agentic AI / Generative AI solution design and implementation.
Full-stack experiences are preferred.
About State Street
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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
