AI Systems Design Architect - Assistant Vice President

Posted 16 Days Ago
Be an Early Applicant
4 Locations
In-Office
90K-158K Annually
Senior level
Financial Services
The Role
Lead end-to-end architecture for a major Generative AI platform: define reference architectures, integration contracts, NFRs, and reusable patterns (RAG, model serving, prompt/agent workflows). Partner with product, engineering, data science, cloud, security, and DevSecOps to ensure secure, scalable, compliant, and production-ready AI solutions. Conduct design reviews, proofs-of-concept, and drive platform governance and operational readiness.
Summary Generated by Built In

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 location specified. If the candidate would ultimately work outside of the 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); and, 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.

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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.

Skills Required

  • Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or related discipline
  • 8-14 years' experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture
  • Hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration
  • Proven cloud architecture and solution design experience on at least one major cloud platform (AWS, Azure, or Google Cloud Platform)
  • Strong understanding of cloud-native services including compute, storage, networking, IAM, 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
  • Master's degree in a related field

State Street Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about State Street and has not been reviewed or approved by State Street.

  • Retirement Support Retirement support is framed as a standout component, highlighted by a 401(k) match described as 100% on the first 6% of base salary. This is positioned as a meaningful offset to less competitive cash compensation for some roles.
  • Leave & Time Off Breadth Leave and time off are portrayed as relatively robust, with references to multi-week vacation, paid holidays, sick time, and additional days tied to wellness or volunteering. This breadth is repeatedly treated as a tangible part of total rewards beyond base pay.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are presented as extensive, including the BeWell program, fitness discounts, onsite or supported health resources, and financial counseling. These offerings are depicted as strengthening the overall benefits proposition even when pay satisfaction is tepid.

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The Company
HQ: Boston, MA
39,782 Employees
Year Founded: 1792

What We Do

At State Street, we partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing. Whether you are an asset manager, asset owner, alternative asset manager, insurance company, pension fund or official institution, you can rely on us to be focused on your challenges. We are committed to doing what it takes to help you perform better — now and in the future

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