AI Systems Design Architect - Assistant Vice President

State Street•Quincy, MA

About The Position

State Street is seeking an AI Systems Design Architect at the Assistant Vice President level to own end-to-end system design for a major Generative AI platform and shared AI services. The role ensures that solutions are secure, resilient, compliant, and aligned with enterprise architecture standards. The architect translates business and platform requirements into technical architectures across the AI stack, defines architecture patterns and integration contracts, establishes non-functional requirements, and reviews architecture across pods. The position works closely with product, engineering, data science, cloud, security, and control teams to deliver scalable, production-grade AI solutions. It covers cloud architecture, model integration and orchestration, APIs, data flows, system integration, production readiness, and responsible AI and governance requirements. The role also evaluates new AI use cases and platform capabilities through architecture assessments, technical design reviews, and proof-of-concept evaluations. The role requires a bachelor’s degree in a specified or related discipline and 8–14 years of relevant architecture experience. A master’s degree is preferred. The stated annual salary range is $90,000–$157,500; the applicable range may differ for candidates working outside the specified location. State Street describes a comprehensive benefits program and an inclusive workplace with development opportunities, work-life support, paid volunteer days, and employee networks.

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 services, including 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 strong 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.
Collaborate with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design cloud-based solutions using AWS, Azure, or Google Cloud principles, with attention to 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 advise on 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 the Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, excluding certain sales roles subject to sales incentive plans.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.