AI Systems Design Architect, Assistant Vice President

State Street

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Quincy, MA
Employment
Full-time
Posted
51 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $171k
$120k $219k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $133,900–$208,979.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 352 open roles on FindRole.

Listed pay typically runs $110,000–$188,750 across 168 roles with salary data.

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At a glance

TL;DR · AI Systems Design Architect, Assistant Vice President

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The AI Systems Design Architect - Assistant Vice President will join the team to own end-to-end system design for a major Generative AI platform and shared AI services. This role involves translating business requirements into robust technical architectures, defining integration contracts, and establishing non-functional requirements across the AI stack. You will build scalable, production-grade solutions including RAG architectures, model serving, prompt workflows, and agentic AI workflows. The position requires expertise in Generative AI, LLMs, vector databases, and cloud architecture on AWS, Azure, or Google Cloud Platform. Key responsibilities include conducting architecture reviews, ensuring Responsible AI compliance, and managing data flows. You must possess deep knowledge of microservices, distributed systems, and API architecture to solve complex problems regarding model governance, security, and operational readiness.

Skills

Generative AI Machine Learning LLMs RAG AWS Azure Google Cloud Platform Vector Databases Microservices Distributed Systems Event-Driven Architecture API Architecture DevSecOps Model Serving System Integration Cloud-Native Services Responsible AI Model Governance

What you'll do

  • Own end-to-end system design for a major GenAI platform, including model integration, orchestration, and data flows.
  • Translate business and product requirements into scalable, secure, and maintainable AI solution designs.
  • Define reference architectures, integration contracts, and non-functional requirements for the platform area.
  • Establish reusable architecture patterns for RAG, model serving, and agentic AI workflows.
  • Design cloud-native solutions on AWS, Azure, or GCP ensuring scalability, observability, and operational readiness.
  • Ensure all designs align with Responsible AI, model governance, data handling, and compliance requirements.
  • Conduct architecture assessments, technical design reviews, and proof-of-concept evaluations for new AI use cases.
  • Review solution designs across pods to provide guidance on architecture decisions and trade-offs.

What we're looking for

  • Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline.
  • Master’s degree (preferred).
  • 8–14 years of experience in solution, enterprise application, platform, or AI/ML architecture.
  • Hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration.
  • Proven experience in cloud architecture and solution design on AWS, Azure, or Google Cloud Platform.
  • Expertise in API architecture, microservices, distributed systems, event-driven architecture, and system integration patterns.
  • Working knowledge of AI governance, Responsible AI, model risk, compliance, testing, and operational controls.
  • Ability to lead architecture discussions and communicate complex technical concepts to technical and business stakeholders.

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