State Street is a global financial services company serving institutional investors through investment management and investment servicing solutions. Its offerings include asset management, custodial services, and investment research, supported by expertise across finance, fintech, and banking. The company focuses on helping clients manage complex investment activities with data, insights, and operational capabilities designed to improve efficiency and support financial decision-making.
AI System Design Architect, Vice President — State Street Hybrid
Vice President responsible for designing secure, scalable generative AI platforms at State Street. The role leads cloud architecture, governance, modernization, and enterprise AI standards for institutional investment services.
United States
Massachusetts
New Jersey
Texas$120,000 – $217,500 / year
HybridFull-timeLeadEnglish RequiredVice PresidentDescription
- Lead enterprise AI architecture strategy across the complete generative AI platform stack
- Establish and govern reference architectures, design standards, architecture principles, integration patterns, and cloud approaches
- Provide technical leadership for scalable, secure, resilient, and compliant AI systems
- Direct architecture decisions for cloud and hybrid environments across AWS, Azure, and Google Cloud
- Create reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic workflows, AI gateways, and service integration
- Lead architecture governance forums and evaluate major solution designs
- Resolve architectural trade-offs while maintaining alignment with enterprise standards
- Collaborate with business, product, engineering, cloud, security, risk, data, and operations stakeholders
- Ensure AI solutions meet Responsible AI, governance, data control, model risk, testing, security, and regulatory requirements
- Lead architecture assessments, technical due diligence, modernization efforts, proof-of-concept direction, and production onboarding standards
- Guide decisions on platform capabilities, shared services, build-versus-buy strategies, and modernization
- Mentor architects and engineering leaders while influencing technical direction
- Represent the Architecture function in senior governance and leadership forums
Requirements
- Bachelor’s degree in computer science, computer information systems, engineering, mathematics, or a related field
- 12–17 years of experience in solution, enterprise application, platform, or AI/ML architecture, including leadership of large-scale enterprise initiatives
- Advanced hands-on and architectural experience with generative AI, LLMs, ML systems, RAG, vector databases, prompt design and orchestration, and AI application integration
- Demonstrated expertise in cloud architecture and enterprise solution design using AWS, Azure, or Google Cloud Platform
- Strong knowledge of cloud-native architecture, including AI/ML services, networking, storage, security, IAM, resilience, and performance optimization
- Experience designing secure, resilient, high-performance architectures for enterprise-scale AI and data applications
- Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design
- Strong knowledge of AI governance, Responsible AI, model risk, compliance, testing, production controls, and control frameworks
- Understanding of DevSecOps, CI/CD, observability, monitoring, reliability engineering, and platform engineering
- Ability to lead architecture discussions with senior executives and communicate effectively with technical and non-technical audiences
- Strong leadership, stakeholder management, problem-solving, and cross-functional collaboration abilities
Benefits
- 401(k) retirement savings plan with company matching
- Basic life insurance
- Medical insurance
- Dental insurance
- Vision insurance
- Long-term disability insurance
- Optional supplemental insurance coverage
- Paid vacation
- Paid sick leave
- Short-term disability coverage
- Support for family care and related responsibilities
- Employee Assistance Program
- Annual performance-based incentive awards
- Selected tax-advantaged savings plans
- Inclusive professional development opportunities
- Flexible work-life support
- Paid volunteer days
- Employee networks