Vista previa de la oferta
Quality Assurance Engineer (AI-Assisted Testing)
senior · Technology / Software Development
Who we are looking for
State Street is seeking an innovative and technically strong Senior Associate, Agentic Quality Engineering to help design, develop, and operationalize AI Agent capabilities that transform how quality engineering activities are performed across the software delivery lifecycle.
This role will focus on building QA-focused AI Agent skills, developing reusable agent capabilities, creating domain-specific knowledge assets, and enabling project teams to adopt Agentic Engineering practices at scale.
The successful candidate will combine expertise in Quality Engineering with emerging AI technologies to build intelligent solutions that improve productivity, software quality, and delivery outcomes.
Why this role is important to us
As State Street accelerates adoption of Agentic AI and AI-assisted software delivery, Quality Engineering is evolving from execution-focused testing into an intelligent, AI-enabled engineering discipline.
This role will help bridge AI innovation and practical delivery by transforming quality engineering knowledge, processes, and best practices into reusable AI agent capabilities that can be leveraged across engineering teams and strategic programs.
You will play a key role in helping define how AI agents are built, evaluated, governed, and successfully adopted within real-world delivery environments.
What you will be responsible for
Agent Skill Development
Design and develop reusable AI Agent skills supporting Quality Engineering activities.
Transform testing methodologies, quality standards, and engineering practices into executable agent capabilities.
Create and maintain agent instructions, prompts, workflows, and knowledge assets.
Improve agent reasoning quality, response accuracy, and task execution effectiveness.
Collaborate with engineering teams to identify opportunities for agent automation and augmentation.
Agentic Solution Enablement
Configure and customize AI agent capabilities to support project delivery needs.
Partner with delivery teams to integrate agent solutions into existing SDLC processes.
Drive adoption of Agentic Engineering practices across multiple teams and applications.
Support implementation of intelligent workflows involving multiple agents and engineering tools.
Knowledge Engineering
Develop and curate quality engineering knowledge repositories to improve agent grounding and performance.
Structure testing frameworks, standards, playbooks, and best practices into reusable knowledge assets.
Continuously improve knowledge quality, discoverability, and governance.
AI Evaluation & Quality Assurance
Establish methods to evaluate agent effectiveness, accuracy, reliability, and business value.
Validate AI-generated outputs against engineering standards and project requirements.
Identify and address quality risks associated with AI-generated content and decisions.
Support responsible AI adoption through transparency, traceability, and governance controls.
Innovation & Continuous Improvement
Explore emerging Agentic AI technologies and industry best practices.
Experiment with new agent frameworks, orchestration approaches, and automation opportunities.
Contribute to organizational AI strategy and capability development.
Share learnings and enable broader adoption across the engineering organization.
What we value
These skills will help you succeed in this role:
Excellent verbal and written communication skills
Strong presentation and storytelling abilities
Ability to influence stakeholders and drive adoption of new technologies
Ability to translate complex AI concepts into practical business solutions
Strong facilitation and workshop leadership skills
Ability to collaborate effectively with technical and non-technical audiences
Continuous learning mindset and passion for innovation
Education & Preferred Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or related field.
5+ years of experience in Software Engineering, Quality Engineering, Test Automation, or related technical disciplines.
Experience working in Agile software delivery environments.
Familiarity with software development lifecycle and quality engineering practices.
Experience Agent Development on Github Copilot/MS Copilot/Google Vertex
Preferred Technical Skills
Experience with several of the following:
Generative AI platforms and tools
Large Language Models (LLMs)
Prompt Engineering
Python
Knowledge Base Design
Workflow Automation
API Integration
RAG (Retrieval-Augmented Generation)
Test Automation Frameworks
Preferred Experience
Developing or configuring AI agents for enterprise use cases.
Building domain-specific AI skills and reusable automation assets.
Applying AI solutions within software delivery or quality engineering environments.
Experience leading technical demonstrations, workshops, or training sessions.
Evaluating and improving AI-generated outputs.
Financial services industry experience is a plus.
Additional Requirements
Strong communication and stakeholder management skills.
Ability to work effectively across global and cross-functional teams.
Demonstrated passion for innovation and technology transformation.
Ability to learn emerging AI technologies quickly and apply them to practical business challenges.
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.
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