AI Systems Design Architect, Vice President

State Street•Quincy, MA

About The Position

State Street is seeking an experienced AI Systems Design Architect at the Vice President level to lead enterprise AI system architecture strategy across the full Generative AI platform stack. The role defines architecture direction, technology standards, and cloud design principles for AI platforms and shared services across the organization. It shapes modernization priorities, represents Architecture in senior leadership and governance forums, and ensures AI systems are secure, resilient, compliant, interoperable, and scalable over the long term. The architect provides strategic technical leadership across cloud and hybrid AI environments, establishes reusable patterns for AI platforms and applications, and guides enterprise decisions about platform capabilities, shared services, build-versus-buy choices, and modernization. The role partners with business, product, engineering, cloud, security, risk, data, and operations teams to align architecture with business priorities and applicable governance and regulatory expectations. It also influences and mentors architects and engineering leaders to improve design quality and adoption of enterprise AI standards.

Requirements

Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline.
12–17 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture, including leadership of large-scale enterprise initiatives.
Deep hands-on and architectural experience with Generative AI, LLMs, ML systems, RAG, vector databases, prompt design and orchestration, and AI application integration.
Expertise in cloud architecture and enterprise solution design on AWS, Azure, or Google Cloud Platform.
Strong understanding of cloud-native architecture, including AI/ML services, networking, storage, security, IAM, resilience, and performance optimization.
Experience designing enterprise-scale, secure, resilient, high-performing architectures for AI and data-driven applications.
Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design.
Strong understanding of AI governance, Responsible AI, model risk, compliance, testing, production controls, and control frameworks.
Strong understanding of DevSecOps, CI/CD, observability, monitoring, reliability engineering, and platform engineering concepts.
Ability to lead architecture discussions with senior executives and communicate effectively with technical and non-technical stakeholders.
Strong leadership, stakeholder management, problem-solving, and cross-functional collaboration skills.

Nice To Haves

Master’s degree preferred.

Responsibilities

Own and drive enterprise-wide AI system architecture strategy across the GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, promoting interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Chair or lead architecture governance forums, review major solution designs, resolve technical trade-offs, and ensure alignment with enterprise standards.
Partner with business leaders, product teams, engineering, cloud, security, risk, data, and operations teams to align architecture strategy with business priorities.
Ensure AI solutions comply with Responsible AI, governance, data controls, model risk, testing standards, security requirements, and regulatory expectations.
Drive architecture assessments, technical due diligence, platform modernization, proof-of-concept direction, and production onboarding standards for AI systems.
Guide enterprise decisions on platform capabilities, shared services, build-versus-buy evaluations, and modernization opportunities.
Influence and mentor architects and engineering leaders to improve design quality, architectural consistency, and adoption of enterprise AI standards.
Represent the Architecture function in senior governance and leadership forums.

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 family care responsibilities.
Access to an Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, subject to stated exclusions.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.