VP, AI Systems Architecture — GenAI Platform Leader

State Street; Quincy (MA); In loco; USD 120.000 - 218.000; Tempo pieno

Vantaggi offerti da questo lavoro

401K with company match

Insurance coverage (medical, dental, V

Paid time off

Employee Assistance Program

Performance-based awards

Tax-advantaged savings plans

Descrizione del lavoro

State Street seeks an AI Systems Design Architect (VP) to lead enterprise AI system architecture strategy across the GenAI platform stack. Define direction, standards, and cloud design principles for AI platforms and shared services.

Lead governance forums, ensure security, resiliency, compliance, and interoperability, and guide modernization across multiple cloud environments (AWS/Azure/GCP).

Competenze

• 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 both technical and non-technical stakeholders.
• Strong leadership, stakeholder management, problem-solving, and cross-functional collaboration skills.

Mansioni

• 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 closely 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.

Conoscenze

Generative AI

LLMs

ML systems

RAG

vector databases

prompt design/orchestration

API architecture

microservices

distributed systems

event-driven patterns

enterprise integration

platform design

AI governance

Responsible AI

model risk

DevSecOps

CI/CD

observability

reliability engineering

platform engineering

leadership

stakeholder management

cross-functional collaboration

Formazione

Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or related; Master’s preferred

Strumenti

AWS

Azure

Google Cloud Platform (GCP)

Descrizione del lavoro

State Street seeks an AI Systems Design Architect (VP) to lead enterprise AI system architecture strategy across the GenAI platform stack. Define direction, standards, and cloud design principles for AI platforms and shared services.

Lead governance forums, ensure security, resiliency, compliance, and interoperability, and guide modernization across multiple cloud environments (AWS/Azure/GCP).