AI Systems Design Architect - Assistant Vice President

State Street•Quincy, MA

About The Position

State Street is seeking an AI Systems Design Architect (Assistant Vice President) to own end-to-end system design for a major Generative AI platform and shared AI services. The role translates business and platform requirements into secure, resilient, compliant, and scalable technical architectures aligned with enterprise standards. It defines architecture patterns, integration contracts, and non-functional requirements, and provides design guidance and reviews across teams. The architect collaborates closely with product, engineering, data science, cloud, security, and control teams to deliver production-grade AI solutions.

Requirements

Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline.
8–14 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture.
Strong hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration.
Proven cloud architecture and solution-design experience on at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
Strong understanding of cloud-native compute, storage, networking, identity and access management, security, and AI/ML services.
Expertise in API architecture, microservices, distributed systems, event-driven architecture, and system integration patterns.
Experience designing solutions with security, resiliency, scalability, observability, and performance considerations.
Working knowledge of AI governance, Responsible AI, model risk, compliance, testing, and operational controls.
Ability to lead architecture discussions and communicate complex technical concepts clearly to technical and business stakeholders.
Strong collaboration, problem-solving, and stakeholder management skills.

Nice To Haves

Master’s degree.

Responsibilities

Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions using cloud architecture principles on AWS, Azure, or Google Cloud, supporting interoperability, scalability, observability, and operational readiness.
Establish reusable architecture patterns for RAG, model serving, prompt workflows, agentic AI workflows, and AI application integration.
Ensure alignment with Responsible AI, model governance, data handling, compliance, testing, risk, and production control requirements.
Conduct architecture assessments, technical design reviews, and proof-of-concept evaluations for new AI use cases and platform capabilities.
Review solution designs across pods and guide architecture decisions, trade-offs, and adherence to standards.
Partner with engineering and DevSecOps teams on production readiness, release architecture, monitoring, and scalability planning.

Benefits

401(k) retirement savings plan with company match.
Insurance coverage, including basic life, medical, dental, vision, long-term disability, and optional additional coverages.
Paid time off, including vacation, sick leave, short-term disability, and leave for family care responsibilities.
Access to an Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, with certain sales-role exceptions.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.