Agentic AI Engineer, AVP
State Street2 hours ago
Hangzhou, ChinaStaff+
Responsibilities
- Build production-grade Agentic AI solutions for investment performance, research, financial analytics, document processing, and operational workflows.
- Develop multi-agent and workflow-based solutions that retrieve information, invoke approved tools and APIs, synthesize results, and produce traceable outputs.
- Design and implement RAG using structured and unstructured data, vector search, metadata filtering, document parsing, semantic retrieval, reranking, and source attribution.
- Integrate LLMs and agent frameworks with enterprise applications, data platforms, databases, APIs, model gateways, and cloud services.
- Create reusable AI components, engineering patterns, guardrails, evaluation frameworks, workflow controls, and governed tool-execution services.
- Implement explainability, auditability, identity and access controls, encryption, logging, monitoring, resiliency, and production-support capabilities.
- Collaborate with platform, data, architecture, security, compliance, privacy, model risk, and AI governance teams on designs and production approvals.
- Diagnose production issues across models, retrieval, prompts, workflows, tools, application code, libraries, and platform integrations.
- Maintain architecture diagrams, technical specifications, implementation templates, runbooks, and architectural decision records.
- Evaluate emerging models, agent protocols, frameworks, and development tools, mentor engineers, and contribute to engineering best practices.
Requirements
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Financial Engineering, Mathematics, or a related technical discipline.
- Strong professional software engineering experience delivering enterprise applications, AI platforms, data platforms, or commercially deployed technology products.
- Hands-on experience designing and developing Generative AI or Agentic AI solutions using large language models.
- Strong Python programming skills; Java, TypeScript, or another enterprise programming language is beneficial.
- Experience with Agentic AI or LLM application frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel.
- Experience with agent patterns including planning, routing, reflection, tool or function calling, workflow orchestration, memory, multi-agent collaboration, and human-in-the-loop review.
- Hands-on experience with RAG, semantic search, embeddings, vector databases, document ingestion, metadata filtering, reranking, and grounded response generation.
- Experience integrating LLM applications with structured data, databases, REST APIs, enterprise services, and data-processing pipelines.
- Understanding of Model Context Protocol or comparable interoperability mechanisms for tool and context integration.
- Experience with prompt engineering, structured outputs, context-window management, prompt and model versioning, and automated evaluation.
- Understanding of distributed systems, scalability, performance, resiliency, observability, secure application design, data governance, privacy, compliance, and audit requirements.
- Experience in at least one major public cloud environment and familiarity with cloud AI and data services.
- Experience with CI/CD, containerization, source control, automated testing, infrastructure integration, and production deployment.
- Strong analytical, problem-solving, written, verbal, cross-functional collaboration, and stakeholder communication skills.
- Ability to communicate professionally in both English and Mandarin Chinese.
- Preferred: experience in asset management, investment management, banking, insurance, or another regulated industry; financial domain knowledge; financial analytics or document-intelligence solutions; Lakehouse and large-scale data technologies; model evaluation and responsible AI; LLM observability; AI-assisted development tools; technical guidance; and relevant certifications.
Benefits
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks are offered.
- The role is full-time and located in Hangzhou, China.
Tech Stack
Categories
About State Street
At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making. With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities: Investment Services: Integrated front-to-back solutions across custody, accounting, and operations. Investment Management: Index and active strategies from one of the world’s largest asset managers. Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value. Who We Are • 50,000+ employees worldwide • Active in 100+ markets • #1 in ETF servicing What You’ll Find Here • Executive perspectives and thought leadership • Timely market commentary and macro insights • Our views on investment operations, ETFs, private markets, and digital finance • Stories reflecting our culture, values and commitment to diversity and inclusion