AI Systems Design Architect, Vice President

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$120,000–$217,500 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $169k
$104k most similar roles pay here $274k

This role pays less than 76% of similar roles. Most pay $173,850–$254,793 — the shaded band above. At the midpoint, this role pays about $169k versus about $214k for comparable roles.

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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

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At a glance

TL;DR · AI Systems Design Architect, Vice President

The AI Systems Design Architect, Vice President leads the enterprise AI system architecture strategy across the full Generative AI platform stack. This role is responsible for defining architecture direction, technology standards, and cloud design principles while overseeing shared services, orchestration layers, model integration, and data flows. The architect will establish reusable patterns for RAG, model serving, prompt orchestration, agentic AI workflows, and AI gateways while ensuring systems meet security, resiliency, and compliance requirements. Key technical competencies include expertise in Generative AI, LLMs, vector databases, and distributed systems across AWS, Azure, or Google Cloud Platform environments. The role involves managing infrastructure for microservices, API architecture, and DevSecOps practices to solve complex problems regarding scalable cloud-native architectures, responsible AI governance, and the integration of high-performing, data-driven applications into existing enterprise ecosystems.

What you'll do

  • Define and govern enterprise-wide AI system architecture strategy across the full Generative AI platform stack.
  • Establish reference architectures, design standards, and integration patterns for AI platforms and applications.
  • Design scalable, secure, and compliant cloud and hybrid infrastructure on AWS, Azure, or GCP.
  • Create reusable enterprise patterns for RAG, model serving, prompt orchestration, and agentic workflows.
  • Lead architecture governance forums to review solution designs and resolve technical trade-offs.
  • Ensure all AI solutions comply with Responsible AI standards, data controls, and regulatory requirements.
  • Conduct technical due diligence, build-vs-buy evaluations, and platform modernization assessments.
  • Mentor architects and engineering leaders to ensure consistency in enterprise AI standard adoption.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is required; a Master's degree is preferred.
  • 12–17 years of experience in solution, enterprise application, platform, or AI/ML architecture is required.
  • Candidates must have deep hands-on and architectural experience with Generative AI, LLMs, RAG, vector databases, and prompt orchestration.
  • Proven expertise in cloud architecture and enterprise solution design on AWS, Azure, or Google Cloud Platform (GCP) is required.
  • Experience designing enterprise-scale, secure, resilient, and high-performing architectures for AI and data-driven applications is required.
  • Expertise in API architecture, microservices, distributed systems, event-driven patterns, and platform design is required.
  • Candidates must have a strong understanding of AI governance, Responsible AI, model risk, compliance, and production controls.
  • Proficiency in DevSecOps, CI/CD, observability, and platform engineering concepts is required.

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