Senior AI Systems Architect - GenAI Platform Lead

STATE STREET CORPORATION; Quincy (MA); On-site; USD 90,000 - 157,500; Full time

Benefits offered by this job

401K with company match

Insurance coverage (medical, dental,/…

Paid time off including vacation, sick

Employee Assistance Program

Incentive compensation (annual awards)

Tax-advantaged savings plans

Job summary

STATE STREET CORPORATION is seeking an AI System Design Architect (AVP) to own end-to-end system design for a major GenAI platform and shared AI services. You will translate business requirements into robust architectures, define reference architectures, and drive integration across product, engineering, data science, cloud, and security teams.

Responsibilities include establishing non-functional requirements, ensuring security, resiliency, and compliance, and collaborating with pod teams to

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.

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.

Education

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

Generative AI

LLMs

RAG architectures

Vector databases

AI application integration

Cloud architecture on AWS/Azure/GCP

API architecture, microservices, distributed systems

Security, resiliency, performance considerations

AI governance, Responsible AI, compliance

Leadership of architecture discussions

Stakeholder management

Tools

AWS

Azure

GCP

Vector databases

Model serving platforms

Job description

STATE STREET CORPORATION is seeking an AI System Design Architect (AVP) to own end-to-end system design for a major GenAI platform and shared AI services. You will translate business requirements into robust architectures, define reference architectures, and drive integration across product, engineering, data science, cloud, and security teams.

Responsibilities include establishing non-functional requirements, ensuring security, resiliency, and compliance, and collaborating with pod teams to