Artificial Intelligence & Machine Learning, Vice President

State Street

Hybrid

Quick summary

Work type
Hybrid
Location
Boston, MA
Salary
$120,000–$202,500 / yr
Posted
2 days ago
Closes
Jun 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $161k
$105k most similar roles pay here $261k

This role pays less than 77% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $161k versus about $204k 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 145 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 143 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Artificial Intelligence & Machine Learning, Vice President

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The Artificial Intelligence & Machine Learning Vice President will lead the design and implementation of secure, scalable AI solutions for enterprise use cases within a highly regulated industry. This role involves translating business requirements into end-to-end AI architectures, collaborating with cross-functional teams to ensure compliance and production readiness, and driving proof-of-concepts and technical reviews. The ideal candidate has deep expertise in Generative AI, LLMs, cloud platforms like Azure or AWS, and MLOps tools such as Databricks and Kubernetes. They must also possess strong stakeholder management skills and the ability to communicate complex technical concepts effectively. Experience in financial services and familiarity with agentic AI frameworks are highly valued, along with a background in enterprise architecture governance and DevSecOps practices.

Skills

Azure AWS GCP Generative AI LLMs RAG Vector databases DevSecOps CI/CD Kubernetes MLOps Databricks API architecture Microservices Event-driven architectures Prometheus Grafana Terraform Python PostgreSQL

What you'll do

  • Design end-to-end AI/ML and Generative AI solution architectures for enterprise use cases.
  • Define reference architectures and best practices for AI platforms and shared services.
  • Lead architecture design for multi-cloud and hybrid AI environments, ensuring security and scalability.
  • Ensure solutions comply with Responsible AI, governance, data handling, and risk management requirements.
  • Drive POCs, technical reviews, and production onboarding for AI applications and platforms.

What we're looking for

  • 10+ years of experience in solution architecture or AI/ML platform architecture.
  • Deep expertise in Generative AI, LLMs, ML systems, RAG, vector databases, and prompt design.
  • Strong knowledge of cloud platforms (Azure, AWS, GCP) for AI/ML services.
  • Expertise in designing scalable, secure, and resilient enterprise architectures.
  • Experience with DevSecOps, CI/CD, monitoring, observability, and platform engineering.
  • Proficiency in API architecture, microservices, distributed systems, and event-driven architectures.

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