State Street Investment Management is looking for a Software Developer (AI & Agentic Engineering) with 2+ years of experience to join the Engineering & Business Service Platform Team, a part of Technical and Business Architecture Solutions. This is a hands-on  role that requires strong full-stack problem-solving skills, deep AI and Agentic Engineering expertise, and a proven track record of delivering enterprise-grade agentic engineering workflow in financial services.  

The ideal candidate is the primary developer of the enterprise agentic engineering, responsible for end-to-end design and implementation spanning backend services, workflow orchestration, AI integration, and cloud infrastructure on AWS. They bring deep expertise in backend development, RESTful API design, and cloud-native architectures, agentic engineering,  combined with hands-on experience solving real-world operational challenges in the asset management industry. 

Why this role is important to us 
Our technology function, Technical and Business Architecture Solutions, is vital to State Street Investment Management and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and modernization initiatives and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation. 

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company. 

Join us if you want to build transformative platform technology, harness the power of AI to solve real-world operational problems, and make your mark on the future of our industry. 

What You Will Be Responsible For 

• Serve as the primary developer of the Agentic Engineering workflow, owning end-to-end design, development, and delivery from inception. 

• Build a robust backend with a well-defined RESTful API surface; integrate with React/Photon-based frontend teams, ensuring clean separation of concerns and maintainable API contracts. 

• Integrate AI/LLM capabilities into the platform, including intelligent data extraction from emails and attachments, natural-language process configuration assistance, and AI-driven quality review steps. 

• Adopt the AI across the engineering lifecycle — from product design, feature analysis, code generation, unit testing, and even automated testing, to applying machine learning and intelligent automation to solve complex business problems and deliver intelligent product features. 

• Deliver AI Agent solutions and domain-specific skills — designing autonomous, goal-driven agents that integrate with enterprise systems, orchestrate multi-step workflows, and surface actionable intelligence to end users across business domains. 

• Implement enterprise-grade security controls including Role-Based Access Control (RBAC), department-level data isolation, SailPoint integration for role requests, and AWS Secrets Manager integration for credential management. 

• Establish and maintain cloud infrastructure on AWS (ECS/EKS, S3, RDS/PostgreSQL, Redis, SQS) with a focus on high availability, auto-scaling, and operational observability. 

• Define and enforce engineering standards including code quality, CI/CD pipeline design, Docs-as-Code documentation, and testing practices across the platform codebase. 

• Anticipate, monitor, manage, and report all risk and compliance issues, breaches, and suspicious activities. 

• Act in accordance with Risk Excellence and role model ethical behavior and decision making as part of our Way Ahead foundation. 

What We Value 

• Deep experience designing and building workflow/orchestration engines, process automation platforms, or comparable rule-driven execution systems. 

• Strong proficiency in RESTful API design, microservices architecture, and backend system design for enterprise-scale applications. 

• Solid command of relational databases (PostgreSQL preferred), data modelling, and SQL; familiarity with Redis caching and message queue systems. 

• Hands-on working knowledge of AWS services such as ECS/EKS, S3, RDS, Lambda, SQS, Secrets Manager, CloudWatch, and related cloud-native tooling. 

• Practical experience integrating AI/LLM technology (OpenAI, LangChain, or equivalent) into production systems for intelligent automation or data extraction use cases. 

•• Strong understanding of enterprise security, RBAC, audit logging, and compliance requirements applicable to the financial services industry. 

• Excellent ability to work independently on ambiguous, greenfield problems and deliver end-to-end working software with a bias for pragmatism and iterative delivery. 

• Proficiency with CI/CD tools, containerization (Docker), and DevOps best practices. 

• Excellent hands-on problem solving skills with a strong can-do attitude and a drive to proactively identify opportunities to innovate and improve. 

• Deep understanding about AI agents and harness engineering. 

• Passionate for learning new skills and capabilities, particularly in the rapidly evolving field of AI and emerging technologies. 

• Comfortable working in a global, distributed team environment with the flexibility to accommodate varying time zones and cross-regional collaboration as needed. 

Education & Preferred Qualifications/Skills 

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline; background in Finance, Economics, or Financial Engineering is a strong plus. 

• Bachelor's with 2+ years of experience in information technology and the asset management industry. 

• Demonstrated experience as the primary developer on a complex, multi-year platform initiative from architectural design through production delivery. 

• Experience in the asset management or broader financial services industry, with understanding of operational workflows, regulatory constraints, and audit requirements. 

• Demonstrated hands-on experience applying AI technologies — including large language models, AI-assisted development, and intelligent automation — to solve real-world problems and deliver production-grade solutions. 

• Strong product mindset with the ability to translate business needs into well-designed, user-centric technical solutions; capable of balancing innovation with pragmatism to drive outcomes. 

• Proven ability to take initiative, experiment with new ideas, and deliver end-to-end — from concept to working software — with a bias for action and a hands-on approach. 

• AWS certification (Cloud Practitioner or higher) is preferred; AWS Developer or Solutions Architect certification is a plus. 

• Strong team ethics and team player. 

• Strong English communication (verbal and written) skills. 

• Focus and desire to deliver high quality services. 

• Ability to work in a high pressured and time sensitive environment. 

Where will the role be based 
The role will be based in Hangzhou, China.