AI Systems Design Architect - VP

About the Role

We are seeking an experiencedAI System Design Architect (VP)to leadenterprise AI system architecture strategyacross the fullGenerative AI platform stack. This role requires deep expertise inGenerative AI, enterprise architecture, platform engineering, distributed systems, and scalable cloud architectures on AWS, Azure, or Google Cloud Platform (GCP).

The ideal candidate will define architecture direction, technology standards, and cloud design principles for AI platforms and shared services across the organization. This 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.

Key Responsibilities

• Own and driveenterprise-wide AI system architecture strategyacross the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
• Define and governreference architectures, design standards, architecture principles, integration patterns, and cloud design approachesfor AI platforms and AI-enabled applications.
• Provide strategic technical leadership onscalable, secure, resilient, and compliant AI system designacross the organization.
• Lead architecture decisions forcloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
• Establish reusable enterprise patterns forRAG, 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 withResponsible 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 onplatform 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.

Required Qualifications

• Bachelor's degree inComputer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline Master's degree preferred.
• 12-17 yearsof experience insolution architecture, enterprise application architecture, platform architecture, or AI/ML architecture, including leadership of large-scale enterprise initiatives.
• Deep hands-on and architectural experience withGenerative AI, LLMs, ML systems, RAG, vector databases, prompt design/orchestration, and AI application integration.
• Proven expertise incloud architecture and enterprise solution design on AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of cloud-native architecture includingAI/ML services, networking, storage, security, IAM, resilience, and performance optimization.
• Proven experience designingenterprise-scale, secure, resilient, and high-performing architecturesfor AI and data-driven applications.
• Expertise inAPI architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design.
• Strong understanding ofAI governance, Responsible AI, model risk, compliance, testing, production controls, and control frameworks.
• Strong understanding ofDevSecOps, 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.

Work Schedule

On-premise

Keywords

AI Solution Architecture, AI System Design, Enterprise AI Architecture, Generative AI, Machine Learning, LLM, RAG, Vector Databases, Prompt Engineering, Agentic AI, AI Governance, Responsible AI, Enterprise Architecture, Cloud Architecture, AWS, Azure, Google Cloud, GCP, Hybrid Cloud, API Integration, Microservices, Distributed Systems, Event-Driven Architecture, DevSecOps, CI/CD, Observability, Platform Engineering, MLOps, Databricks, Kubernetes

About State Street

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We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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