Senior Solution Architect, AI & Cloud Systems, Vice President

State Street

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Quincy, MAPrinceton, NJ
Salary: $120,000–$202,500 / yr
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k

This role $161k

$106k most similar roles pay here $249k

This role pays less than 65% of similar roles. Most pay $155,000–$235,140 — the shaded band above. At the midpoint, this role pays about $161k versus about $195k for comparable roles.

Based on 239 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

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At a glance

TL;DR · Senior Solution Architect, AI & Cloud Systems, Vice President

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Senior Solution Architect - AI & Cloud Systems, Vice President will join the Anti-Money Laundering (AML) Compliance Technology team to design secure, scalable, and cost-effective solutions. This role involves leading end-to-end architecture for enterprise AI, cloud, data, and application systems while translating complex business requirements into production-ready designs. The architect will define patterns for generative AI, agentic AI, and event-driven systems while providing technical leadership to engineers and developers. Key technologies include AWS services like Bedrock, S3, and Lambda; Databricks; Python; Kubernetes; and various AI frameworks such as LangChain and CrewAI. The role focuses on solving complex compliance challenges in a highly regulated financial services environment by building robust data pipelines, microservices, and cloud-native applications that ensure operational resiliency, security, and performance across distributed systems and hybrid-cloud integrations.

Skills

Generative AI Agentic AI AWS Databricks Python Kubernetes RAG LLMs Vector Databases Microservices APIs Event-Driven Architecture Kafka Apache Airflow Terraform OpenShift CI/CD DevSecOps LangChain LangGraph

What you'll do

Lead the end-to-end architecture and design of enterprise AI, cloud, data, and application solutions.
Translate complex business requirements into secure, scalable, and production-ready solution architectures.
Define architecture patterns for generative AI, agentic AI, cloud-native applications, and event-driven systems.
Provide architecture governance throughout the delivery lifecycle from initial design to production rollout.
Evaluate existing platforms to recommend modernization, performance improvements, and cost-optimization opportunities.
Design specific AI components including RAG, model integration, evaluation, observability, and guardrails.
Guide engineering teams through design reviews, implementation, and production-readiness assessments.
Mentor architects and engineers while promoting architecture standards and engineering best practices.

What we're looking for

Bachelor's degree in computer science, engineering, information systems, or an equivalent combination of education and work experience.
At least 10 years of overall technology experience, including significant experience in solution or enterprise architecture.
Experience architecting large-scale AI, cloud, data, and distributed application platforms.
Hands-on knowledge of AWS services, Databricks, Python, APIs, microservices, containers, Kubernetes, and event-driven architecture.
Strong understanding of Generative AI and Agentic AI architecture, including LLMs, RAG, vector databases, and model evaluation.
Knowledge of application security, identity and access management, encryption, resiliency, and cloud governance.
Experience in financial services, banking, compliance, or other highly regulated industries (preferred).
AWS, Databricks, AI/ML, Kubernetes, or enterprise architecture certifications (preferred).