State Street Logo

State Street

AI Systems Design Architect - Assistant Vice President

Posted 11 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
90K-158K Annually
Senior level
In-Office
Austin, TX, USA
90K-158K Annually
Senior level
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.
The summary above was generated by AI

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.

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.

Similar Jobs

2 Minutes Ago
Hybrid
Senior level
Senior level
Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Lead development of production AI-assisted engineering systems: build services, APIs, integrations, and tooling; direct and review AI coding agents and AI-generated code; establish repeatable practices, observability, testing, and secure delivery for enterprise platforms.
Top Skills: Ci/CdClaude CodeCodexCursorDatadogGCPGoogle AntigravityLangfuseLangsmithPythonTypescript
33 Minutes Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
140K-165K Annually
Junior
140K-165K Annually
Junior
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Data Scientist, you'll develop and validate machine learning models, implement AI solutions, and conduct fieldwork in support of customers.
Top Skills: Ci/CdCloud InfrastructureDockerGitKubernetesPythonPyTorchScikit-LearnTensorFlow
33 Minutes Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
140K-165K Annually
Junior
140K-165K Annually
Junior
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Machine Learning Engineer, you will develop machine learning models, automate data engineering pipelines, and support customer-centric projects while collaborating with data scientists and engineers.
Top Skills: C++DockerGoJavaKubernetesPythonPyTorchRustScalaScikit-LearnTensorFlow

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account