Senior Solution Architect, AI & Cloud Systems, Vice President

State Street

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Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $161k
$107k $243k
below market most similar roles pay here above market

This role pays less than 66% of similar roles. Most pay $155,000–$230,250 — the blue band above. At the midpoint, this role pays about $161k versus about $193k for comparable roles.

Based on 240 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 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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View all roles at State Street

At a glance

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

Role Posting Log in to save

The Senior Solution Architect - AI & Cloud Systems, Vice President joins the Anti-Money Laundering Compliance Technology team to design secure, scalable, and cost-effective AI and cloud solutions. You will lead the end-to-end architecture for enterprise data and application solutions, translating business requirements into production-ready designs. Key responsibilities include defining architecture patterns for generative AI, agentic AI, and event-driven systems while providing governance throughout the delivery lifecycle. You will utilize AWS services like Bedrock, S3, and Lambda, alongside Databricks, Python, Kubernetes, and various AI frameworks like LangChain and CrewAI. The role focuses on solving complex compliance problems by building RAG systems, vector databases, and data pipelines within a highly regulated financial services environment, ensuring all designs meet strict security, resiliency, and data privacy standards.

Skills

Generative AI Agentic AI AWS Databricks Python Kubernetes RAG LLMs Microservices APIs Event-driven Architecture CI/CD Terraform Kafka Apache Airflow LangChain LangGraph Pydantic PostgreSQL S3 EC2 Lambda API Gateway IAM DevSecOps Infrastructure as Code Data Lakes Lakehouse Architecture

What you'll do

  • Lead the end-to-end architecture and design of enterprise AI, cloud, data, and application solutions.
  • Translate 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.
  • Design production-grade AI solutions including RAG, AI agents, model integration, and guardrails.
  • Evaluate existing platforms to recommend modernization, performance, resiliency, and cost-optimization opportunities.
  • Guide engineering teams during design, implementation, architecture reviews, 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.
  • Demonstrated experience architecting large-scale AI, cloud, data, and distributed application platforms.
  • Hands-on knowledge of AWS services including Bedrock, S3, EC2, Lambda, API Gateway, IAM, and PostgreSQL-based platforms.
  • Strong understanding of Generative AI and Agentic AI architecture, including LLMs, RAG, vector databases, and guardrails.
  • Experience with Python, APIs, microservices, containers, Kubernetes, and event-driven architecture.
  • Familiarity with Databricks, data lakes, lakehouse architecture, data pipelines, and enterprise data integration.
  • Experience in financial services, banking, compliance, or other highly regulated industries (preferred).

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