AI Systems Design Architect, Vice President

State Street•Quincy, MA

6d•$120,000 - $217,500

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 calls for expertise in Generative AI, enterprise architecture, platform engineering, distributed systems, and scalable cloud architectures on AWS, Azure, or Google Cloud Platform (GCP). The architect will define architecture direction, technology standards, and cloud design principles for AI platforms and shared services. The role will shape modernization priorities, represent Architecture in senior leadership and governance forums, and ensure AI systems are designed for security, resiliency, compliance, interoperability, and long-term scalability. The position also involves partnering across business, product, engineering, cloud, security, risk, data, and operations teams, and influencing architects and engineering leaders.

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/orchestration, and AI application integration.
Proven expertise in cloud architecture and enterprise solution design on AWS, Azure, or Google Cloud Platform (GCP).
Strong understanding of cloud-native architecture, including AI/ML services, networking, storage, security, IAM, resilience, and performance optimization.
Proven experience designing enterprise-scale, secure, resilient, and 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.
Demonstrated 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.

Responsibilities

Own and drive enterprise-wide AI system architecture strategy across the full 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 across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring 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, reviewing major solution designs, resolving technical trade-offs, and ensuring 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-vs-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 leave for family care responsibilities.
Access to an 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.