Enterprise AI Platform & Ops AVP — Cloud & Resilience

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

Job summary

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

The role emphasizes platform standards, automation, observability, and governance to meet regulatory and resiliency expectations in a complex financial services environment.

Qualifications

• 4+ years as a full-time IT professional in cloud engineering, cloud support, platform engineering, SRE, DevOps, MLOps, or cloud administration roles.
• Experience designing, deploying, and operating Azure, AWS, or private cloud environments with IaaS, PaaS, container platforms, managed services, and production support models.
• Proficiency with automation and IaC tooling (Terraform, CI/CD pipelines); strong scripting skills.

Responsibilities

• Lead design and day-to-day operations of enterprise AI platform environments across Azure, AWS, and private cloud.
• Configure and operationalize cloud services including networks, Kubernetes, VMs, Databricks, and LLM services.
• Develop automation, deployment pipelines, and runbooks to support scalable production releases.
• Ensure enterprise security, resiliency, observability, and compliance in AI platforms.

Skills

Cloud platform leadership

Enterprise platform ops

Stakeholder communication

Automation mindset

Education

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

Tools

Terraform

Backstage

Harness

CI/CD pipelines

Infra as code

Env management

Deployment automation

Virtual networks

Kubernetes

VMs

Secrets store

Databricks

Job description

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

The role emphasizes platform standards, automation, observability, and governance to meet regulatory and resiliency expectations in a complex financial services environment.