# 000618 - 500 - Software Engineering & Development, AVP at State Street

State Street is hiring a 000618 - 500 - Software Engineering & Development, AVP. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/d17601b7-0e04-43ec-b16f-7537fdbcae94).

AI Level 3, AI centrality 68 out of 100. Hangzhou, China.

## Details

- Company: [State Street](https://jobsbylevel.com/companies/state-street)
- AI level: AI Level 3 (score 68 out of 100)
- Location: Hangzhou, China
- Posted: October 8, 2026
- Apply: https://jobsbylevel.com/go/d17601b7-0e04-43ec-b16f-7537fdbcae94

## Description

A highly experienced, hands-on technology leader to serve as Principal Agentic AI Engineer. This role will report to the AI Platform leadership team and will define the target-state Agentic AI platform architecture, establish engineering standards, and guide the delivery and adoption of strategic agentic AI solutions across the organization. Why this role is important to us Agentic AI is transforming how organizations automate knowledge-intensive work, accelerate decision-making, and unlock value from enterprise data. Realizing this opportunity at scale requires a secure, governed, and reusable platform that enables engineering and business teams to build production-ready AI solutions. The Principal Agentic AI Engineer will shape this platform, set its technical direction, and ensure that it supports investment performance, investment research, data operations, and related daily operations. What you will be responsible for In this role, you will: Define and own the end-to-end target-state architecture for the Agentic AI platform, including prompt engineering, agent orchestration, memory, tool integration, knowledge management, multi-agent collaboration, and human-in-the-loop patterns. Lead the design and implementation of strategic, production-grade agentic AI solutions for investment performance, investment research, data operations, and related business workflows. Establish architectural principles, engineering standards, reusable patterns, and guardrails for agentic AI development and adoption. Define architectural standards for an Iceberg-based Lakehouse, including table design, partitioning, schema evolution, metadata, performance, and lifecycle management. Design enterprise knowledge capabilities using retrieval-augmented generation, vector search, knowledge graphs, ontologies, metadata, and semantic retrieval. Review platform, data, and solution designs to ensure alignment with architectural principles, performance expectations, security requirements, and enterprise standards. Partner with Platform Engineering to align infrastructure, identity and access management, security, observability, CI/CD, AgentOps, and LLMOps capabilities with architectural intent. Work with Enterprise Architecture, Governance, Risk, and Security teams to meet access-control, Responsible AI, compliance, and audit requirements. Publish and maintain reference architectures, design guidelines, engineering patterns, and architectural decision records. Identify architectural risks, technical debt, and improvement opportunities, and guide the evolution of the platform over time. Mentor senior engineers and influence technical direction across multiple engineering and application teams. What we value These skills will help you succeed in this role: Strong strategic and systems-thinking skills, with sound judgment across innovation, scalability, reliability, cost, security, and governance. Ability to translate business objectives into practical platform capabilities and executable technical roadmaps. Ability to influence engineering teams, architects, governance functions, and senior stakeholders without relying solely on formal authority. Clear and effective communication, including the ability to explain complex AI and data concepts to technical and non-technical audiences. A hands-on, delivery-oriented mindset with strong ownership, curiosity, and commitment to engineering quality. Education & Preferred Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Engineering, or a related discipline. 10+ years of experience in software engineering, platform engineering, data engineering, solution architecture, or related technology roles. Proven experience owning or leading enterprise-scale Agentic AI or Generative AI architecture and delivery. Deep knowledge of agent orchestration, planning, memory, tool calling, evaluation, guardrails, multi-agent systems, and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/000618-500-software-engineering-development-avp-at-state-street-2239ea

Source: https://jobsbylevel.com/jobs/000618-500-software-engineering-development-avp-at-state-street-2239ea

## Cite this page

Level. https://jobsbylevel.com/jobs/000618-500-software-engineering-development-avp-at-state-street-2239ea.

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