AI Platform & Ops AVP — Enterprise Cloud Lead

State Street; Quincy (MA); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Medical, dental, vision insurance

Paid time off

Employee Assistance Program

Job summary

State Street is seeking an AI Platform and Ops Lead, AVP, to design, deploy, and operate secure, scalable AI platforms across Azure, AWS, and private cloud for enterprise use cases. You will partner with business, security, data, architecture, and risk teams to enable reliable, production-ready AI solutions.

The role emphasizes governance, observability, resiliency, and incident readiness, with focus on automation, IaC, and platform operations that meet regulatory expectations in financial

Qualifications

• 4+ years of IT professional experience in cloud engineering, cloud support, platform engineering, SRE/DevOps, MLOps, or cloud administration.
• 0

Responsibilities

• Design, deploy, and operate secure enterprise AI platform environments across Azure, AWS, and private cloud.
• Automate cloud services, IaC patterns, deployment pipelines, and platform runbooks for scalable production releases.
• Ensure security, resiliency, observability, and compliance for AI workloads.
• Collaborate with business, data, risk, cyber, architecture, and risk teams to enable production-ready AI solutions.
• Support platform governance, onboarding processes, and continuous improvement of operations.

Skills

Generative AI

Machine Learning

Enterprise architecture

Cloud platforms

Platform operations

Automation

Education

Bachelor's degree in Computer Science, Math, Engineering, Information Technology, or related field

Tools

Azure

AWS

Private cloud

Terraform

Backstage

Harness

CI/CD pipelines

Infrastructure as Code

Kubernetes

Databricks

Job description

State Street is seeking an AI Platform and Ops Lead, AVP, to design, deploy, and operate secure, scalable AI platforms across Azure, AWS, and private cloud for enterprise use cases. You will partner with business, security, data, architecture, and risk teams to enable reliable, production-ready AI solutions.

The role emphasizes governance, observability, resiliency, and incident readiness, with focus on automation, IaC, and platform operations that meet regulatory expectations in financial