VP, AI Systems Architecture & Platform Strategy

State Street Corp; Quincy (MA); Sur place; USD 120 000 - 218 000; Plein temps

Avantages offerts par ce poste

401K match

Medical insurance

Paid time off

Volunteer days

Employee networks

Résumé du poste

State Street Corp seeks an experienced AI Systems Design Architect (VP) to lead enterprise AI system architecture strategy across the full GenAI platform stack. You will guide architecture direction, establish standards, and shape modernization priorities for secure, scalable AI services.

Responsibilities include defining reference architectures, driving governance forums, and partnering with business, product, and engineering teams to align AI solutions with risk, compliance, and enterprise

Qualifications

• Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or related discipline; Master’s degree preferred.
• 12–17 years in solution/enterprise/AI architecture leadership of large-scale initiatives.
• Deep hands-on and architectural experience with Generative AI, LLMs, ML systems, RAG, vector databases, prompt orchestration, and AI integration.
• Proven cloud architecture and enterprise solution design on AWS, Azure, or 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 architectures for AI and data-driven apps.
• Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, platform design.
• Strong understanding of AI governance, Responsible AI, model risk, compliance, testing, and production controls.
• Strong understanding of DevSecOps, CI/CD, observability, reliability engineering, and platform engineering concepts.
• Demonstrated ability to lead architecture discussions with senior execs and communicate with technical and non-technical stakeholders.
• Strong leadership, stakeholder management, problem-solving, and cross-functional collaboration skills.

Responsabilités

• 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 to enterprise standards.
• Partner with business leaders, product teams, engineering, cloud, security, risk, data, and operations to align architecture 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, PoC direction, and production onboarding standards for AI systems.
• Guide decisions on platform capabilities, shared services, build-vs-buy, and modernization opportunities.
• Mentor architects and engineering leaders to improve design quality and adoption of enterprise AI standards.
• Represent Architecture in senior governance and leadership forums.

Connaissances

GenAI Expertise

LLMs & RAG

Cloud Architecture

Distributed Systems

Security & Compliance

Leadership

Stakeholder Mgmt

CI/CD/DevSecOps

Governance

Communication

Formation

Bachelor's in CS/Engineering

Master's preferred

Outils

AWS

Azure

GCP

APIs

Kubernetes

Microservices

CI/CD

Description du poste

State Street Corp seeks an experienced AI Systems Design Architect (VP) to lead enterprise AI system architecture strategy across the full GenAI platform stack. You will guide architecture direction, establish standards, and shape modernization priorities for secure, scalable AI services.

Responsibilities include defining reference architectures, driving governance forums, and partnering with business, product, and engineering teams to align AI solutions with risk, compliance, and enterprise