Senior AI Security Automation Architect

State Street; Quincy (MA); Hybrid; USD 120,000 - 203,000; Full time

Benefits offered by this job

401K with company match

Medical, dental, vision insurance

Vacation and sick leave

Hybrid work model

Job summary

State Street is seeking a Senior AI Security Automation Engineer to shape secure AI-driven platforms for Sophisticated cybersecurity operations. You will partner with Global Cyber Security and Infra teams to deliver scalable data-driven security solutions and autonomous agents across the enterprise.

The role blends AI, cybersecurity, data engineering, and full-stack software development, with a focus on governance, reliability, and safe AI operation, across a hybrid work model.

Qualifications

• Master’s or bachelor’s degree in computer science, software engineering, AI, or cybersecurity.
• 7+ years of professional software engineering experience.
• 3+ years of developing AI, ML, or Generative AI solutions.
• Experience deploying enterprise-scale applications and platforms.

Responsibilities

• Lead architecture and delivery of scalable AI security platforms and automation.
• Design production-grade AI systems, agents, and tool orchestration.
• Develop cloud-native AI services in AWS, Azure, and GCP with containers/serverless patterns.
• Mentor engineers and influence engineering direction through code reviews.

Skills

Generative AI

LLM

Python

JavaScript

TypeScript

Rust

Go

Bash

PowerShell

CI/CD

Jenkins

Harness

Spinnaker

Argo CD

Education

Master’s degree in CS/SE/AI/Cybersecurity

Bachelor’s degree in CS/SE/AI/Cybersecurity

Tools

Jenkins

Harness

Spinnaker

Argo CD

Job description

State Street is seeking a Senior AI Security Automation Engineer to shape secure AI-driven platforms for Sophisticated cybersecurity operations. You will partner with Global Cyber Security and Infra teams to deliver scalable data-driven security solutions and autonomous agents across the enterprise.

The role blends AI, cybersecurity, data engineering, and full-stack software development, with a focus on governance, reliability, and safe AI operation, across a hybrid work model.