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About the Role

This role is responsible for the end-to-end system design of a major Generative AI platform and shared AI services, ensuring solutions are secure, resilient, compliant, and aligned with enterprise architecture standards. The candidate will translate business requirements into technical architectures, define patterns, establish non-functional requirements, and conduct architecture reviews, collaborating with various teams to deliver scalable AI solutions.

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.

Requirements

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.

Skills

Generative AI
Machine Learning
Enterprise Architecture
Cloud Platforms
Scalable Solution Design
AWS
Azure
Google Cloud Platform (GCP)
LLMs
RAG architectures
Vector databases
AI application integration
Cloud-native services
Compute
Storage
Networking
Identity and Access Management
Security
AI/ML services
API architecture
Microservices
Distributed systems
Event-driven architecture
System integration patterns
AI governance
Responsible AI
Model risk
Compliance
Testing
Operational controls

Location

Massachusetts

Work Type

Full-time

Experience Level

8-14 years

Education Level

Bachelor's degree
Master's degree preferred

Salary/Compensations

$90,000 - $157,500 Annual

Benefits

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 Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks

About the Company

Across the globe, institutional investors rely on State Street to help them manage risk, respond to challenges, and drive performance and profitability.
State Street is committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
Join State Street in shaping the future.

Equal Opportunity

As an Equal Opportunity Employer, State Street considers 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.