GenAI Platform Architect (AVP) – Secure, Scalable AI

State Street Corp; Quincy (MA); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Healthcare (medical, dental, vision)

Paid time off

Volunteer days

Job summary

State Street Corp is seeking an AI System Design Architect (AVP) to own end-to-end design of a major GenAI platform, including model integration, APIs, data flows, and security considerations. You will define reference architectures, enforce standards, and collaborate with product, security, and platform teams to deliver enterprise-ready AI systems.

The role emphasizes cloud-native design on AWS, Azure, or Google Cloud, governance and Responsible AI, scalability, observability, and production

Qualifications

• 8–14 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture.
• Strong hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration.
• Bachelor’s degree required; Master’s degree preferred; proven cloud architecture experience on AWS/Azure/GCP.

Responsibilities

• Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
• Define and implement reference architectures, design standards, integration contracts, and non-functional requirements for the platform area.
• Translate business and product requirements into scalable, secure AI solution designs.

Skills

GenAI expertise

Enterprise architecture

Cloud architecture

APIs & microservices

Stakeholder communication

Education

Bachelor’s degree

Master’s degree preferred

Tools

Amazon Web Services (AWS)

Microsoft Azure

Google Cloud Platform (GCP)

Vector databases

LLMs

Job description

State Street Corp is seeking an AI System Design Architect (AVP) to own end-to-end design of a major GenAI platform, including model integration, APIs, data flows, and security considerations. You will define reference architectures, enforce standards, and collaborate with product, security, and platform teams to deliver enterprise-ready AI systems.

The role emphasizes cloud-native design on AWS, Azure, or Google Cloud, governance and Responsible AI, scalability, observability, and production