Assistant Vice President, Agentic Quality Engineering Lead
State Street
- Location
- Hangzhou
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Posted
- 18h ago
Skills
About this role
Job Summary
State Street is seeking an experienced and innovative Agentic Quality Engineering Lead (AVP) to drive the next generation of software quality assurance through AI-powered testing, intelligent automation, and Agentic Engineering practices. This leadership role will be responsible for transforming traditional quality engineering into a scalable, AI-enabled capability by integrating Agentic AI solutions across the software development lifecycle. The successful candidate will lead quality engineering teams, establish enterprise-wide testing strategies, and drive adoption of intelligent testing frameworks, automation platforms, and AI governance practices. The ideal candidate combines deep expertise in quality engineering, software delivery, and test automation with a strong understanding of Generative AI, Agentic systems, and modern software engineering practices. Why this role is important to us As State Street continues its digital and AI transformation journey, quality assurance must evolve beyond traditional testing approaches. Agentic AI presents a unique opportunity to redesign how quality is planned, engineered, executed, and governed. This role will play a critical part in enabling intelligent quality engineering capabilities that improve delivery velocity, enhance software reliability, strengthen risk controls, and elevate client outcomes. You will help define how AI agents and quality engineers work together to create scalable, compliant, and highly efficient software delivery processes. What you will be responsible for As Agentic Quality Engineering Lead, you will: Strategy & Transformation Define and execute the strategic roadmap for Agentic Quality Engineering. Drive quality transformation initiatives aligned with enterprise AI and engineering objectives. Champion adoption of AI-enabled testing practices across development organizations. Establish quality engineering standards, governance models, and operational metrics. Agentic Testing & AI Innovation Design and implement intelligent testing frameworks leveraging Agentic AI capabilities. Lead development of AI-powered testing solutions including: Autonomous test generation Intelligent test maintenance Self-healing automation Defect prediction and analysis Release risk assessment Partner with AI engineering teams to validate and govern AI-powered products and solutions. Develop quality assurance strategies for LLM-based applications, copilots, chatbots, and Agentic workflows. Quality Engineering Leadership Lead and mentor distributed Quality Engineering and SDET teams. Drive engineering excellence through automation-first testing practices. Foster a culture of innovation, continuous learning, and technology modernization. Support talent development and succession planning within the QA organization. Test Automation & Delivery Excellence Define enterprise automation strategy and implementation roadmap. Improve automation coverage across UI, API, integration, and non-functional testing. Integrate automated quality gates into CI/CD pipelines. Promote Shift-Left and Shift-Right quality practices. Drive continuous improvement of quality metrics and delivery outcomes. Governance, Risk & Compliance Define quality controls for Agentic AI systems and AI-enabled solutions. Ensure compliance with enterprise AI governance, security, and risk management standards. Establish frameworks for: Agent validation Output evaluation Hallucination mitigation Traceability and auditability Responsible AI adoption Stakeholder Management Collaborate with Product, Engineering, Architecture, Security, and Business stakeholders. Provide executive reporting on quality performance, automation maturity, and operational risks. Influence technology investment decisions related to quality engineering and AI enablement.
What we value
These skills will help you succeed in this role: Strategic leadership and technology vision Strong understanding of modern software engineering practices