AI Systems Design Architect - Assistant Vice President

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

Benefits offered by this job

401K with company match

Health insurance and dental/vision

Paid time off

Employee Assistance Program

Incentive compensation

Tax-advantaged saving plans

Job summary

State Street seeks an AI System Design Architect (AVP) to own end‑to‑end system design for a major GenAI platform. You will align architecture with enterprise standards, define patterns, and ensure secure, scalable AI solutions across cloud environments.

You will collaborate with product, engineering, data science, cloud, and security teams to deliver enterprise‑ready AI systems, with emphasis on governance, compliance, and observability.

Qualifications

• 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 architecture, enterprise architecture, platform architecture, or AI/ML architecture.
• Strong hands‑on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI integration.
• Proven cloud architecture experience on AWS, Azure, or GCP.
• Security, resiliency, scalability, observability, and performance considerations.
• Knowledge of AI governance, Responsible AI, model risk, compliance, testing and controls.

Responsibilities

• Own end‑to‑end architecture and system design for a major AI platform domain.
• Define reference architectures, design standards, and non‑functional requirements for the platform.
• Translate requirements into scalable, secure AI solution designs.
• Collaborate with product, engineering, data science, cloud, and security teams.
• Design cloud solutions on AWS, Azure, or Google Cloud for interoperability and observability.
• Establish reusable architecture patterns for RAG, model serving, prompts, and AI workflows.
• Ensure alignment with governance, data handling, and compliance requirements.
• Conduct architecture assessments, design reviews, and POC evaluations.
• Review designs across pods and guide decisions and standards.
• Support production readiness, release architecture, monitoring, and scalability planning.

Skills

Generative AI

LLMs

ML systems

RAG architectures

Vector databases

AI application integration

Cloud architecture

API architecture

Microservices

Distributed systems

Education

Bachelor’s degree in CS / CIS / Engineering / Math

Master’s degree preferred

Tools

AWS

Azure

GCP

Job description

We are seeking an AI System Design Architect (AVP) with strong expertise in Generative AI, Machine Learning, enterprise architecture, cloud platforms, and scalable solution design. This role will own end‑to‑end system design for a major GenAI platform and shared AI services, ensuring solutions are secure, resilient, compliant, and aligned with enterprise architecture standards.

The ideal candidate will translate business and platform requirements into robust technical architectures across the AI stack, define architecture patterns and integration contracts, establish non‑functional requirements, and provide architecture reviews across pods. This role requires close collaboration with product, engineering, data science, cloud, and control teams to drive scalable, production‑grade AI solutions.

Key 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 (NFRs) for the platform area.
• Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
• Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise‑ready AI systems.
• Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
• Establish reusable architecture patterns for RAG, model serving, prompt workflows, agentic AI workflows, and AI application integration.
• Ensure alignment with Responsible AI, model governance, data handling, compliance, testing, risk, and production control requirements.
• Conduct architecture assessments, technical design reviews, and proof‑of‑concept evaluations for new AI use cases and platform capabilities.
• Review solution designs across pods and provide guidance on architecture decisions, trade‑offs, and standards adherence.
• Partner with engineering and DevSecOps teams to support production readiness, release architecture, monitoring, and scalability planning.

Required Qualifications

• 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 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.
• Proven experience in cloud architecture and solution design on at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of cloud‑native services including compute, storage, networking, identity and access management, security, and AI/ML services.
• Expertise in API architecture, microservices, distributed systems, event‑driven architecture, and system integration patterns.
• Experience designing solutions with strong security, resiliency, scalability, observability, and performance considerations.
• Working knowledge of AI governance, Responsible AI, model risk, compliance, testing, and operational controls.
• Ability to lead architecture discussions and clearly communicate complex technical concepts to technical and business stakeholders.
• Strong collaboration, problem‑solving, and stakeholder management skills.

Salary Range

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes:

• our retirement savings plan (401K) with company match
• insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages
• paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities
• access to our Employee Assistance Program
• incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans)
• eligibility for certain tax‑advantaged savings plans

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

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.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Job Application Disclosure

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job ID: R-795006