AI Platform and Ops Lead, Assistant Vice President

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Boston, MAPrinceton, NJClifton, NJAustin, TXQuincy, MA
Salary
$90,000–$157,500 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k
This role $124k
$73k most similar roles pay here $248k

This role pays less than 91% of similar roles. Most pay $151,000–$231,125 — the shaded band above. At the midpoint, this role pays about $124k versus about $191k 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.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · AI Platform and Ops Lead, Assistant Vice President

The AI Platform and Ops Lead, Assistant Vice President joins the CDAIO Organization to lead the design, implementation, and daily operations of secure enterprise AI platform environments across Azure, AWS, and private cloud infrastructures. This role involves managing critical services including Kubernetes, Databricks, LLM services, and various storage and database systems while building automation scripts, infrastructure-as-code patterns, and deployment pipelines. The candidate will ensure production readiness through identity management, monitoring, incident response, and disaster recovery planning to move AI solutions from proof of concept into production. Key technical requirements include proficiency in Terraform, Harness, PowerShell, Python, and shell scripting. The role addresses the challenge of providing resilient, compliant, and observable platform capabilities for large-scale enterprise use cases within a regulated financial services environment, ensuring that AI workloads meet strict security and governance standards.

What you'll do

  • Design, implement, and manage secure enterprise AI platform environments across Azure, AWS, and private cloud infrastructures.
  • Configure and operationalize core services including Kubernetes, Databricks, LLM services, and various database and storage systems.
  • Develop automation scripts, infrastructure-as-code patterns, and CI/CD pipelines to ensure scalable and repeatable production releases.
  • Manage identity and access management, monitoring, alerting, logging, and incident response for AI platform workloads.
  • Translate business and technical requirements into reliable AI operations capabilities and reusable enterprise architecture patterns.
  • Execute production readiness reviews, disaster recovery planning, and vulnerability remediation for regulated AI solutions.
  • Establish platform standards, governance practices, and documentation to improve the maturity of AI platform operations.

What we're looking for

  • Bachelor's degree in Computer Science, Math, Engineering, Information Technology, or a related technical field.
  • 4+ years of experience as an IT professional in cloud engineering, site reliability engineering, DevOps, MLOps, or similar roles.
  • Experience designing and operating Azure, AWS, or private cloud environments including IaaS, PaaS, and container platforms.
  • Proficiency with PowerShell, Python, shell scripting, or other automation languages for managing infrastructure.
  • Experience with Terraform, Backstage, Harness, CI/CD pipelines, and infrastructure-as-code.
  • Experience with Kubernetes, Virtual Networks, secrets management, databases, Databricks, and LLM services.
  • Experience in business continuity, disaster recovery, incident management, or production support.
  • Understanding of AI/ML lifecycle, responsible AI controls, and MLOps (preferred); experience in regulated financial services (preferred).

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