Senior AI Security Automation Architect

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

Benefits offered by this job

401K with company match

Medical, dental, vision coverage

Paid time off and volunteer days

Flexible work policy

Job summary

State Street is seeking a Senior AI Security Automation Engineer to lead the design and delivery of scalable, agentic AI platforms for cybersecurity operations.

You will architect retrieval‑augmented workflows, build cloud‑native services across AWS/Azure/GCP, and drive secure, observable AI systems with strong engineering leadership. Hybrid work supports collaboration across global teams.

Qualifications

• Master’s or bachelor’s degree in CS/SE/AI/Cybersecurity.
• 7+ years of professional software engineering experience.
• 3+ years developing AI, Machine Learning, or Generative AI solutions.

Responsibilities

• Drive architecture and delivery of scalable AI platforms for security workflows.
• Design production‑grade AI systems including agents, skills, memory patterns, and guardrails.
• Architect retrieval and context engineering with embeddings and semantic search.
• Engineer cloud‑native AI services in AWS, Azure, and GCP using containers.
• Optimize platform performance across latency, throughput, and cost controls.
• Build governed APIs and integrations connecting AI to security tools and processes.
• Define reliability, security, and safe AI operation standards.
• Mentor junior engineers and contribute to architectural decisions.
• Utilize enterprise AI coding assist tools with peer review and secure coding.

Skills

Generative AI

LLM development

Cloud-native architectures

Python

Security automation

Education

Master’s or Bachelor’s in CS/SE/AI/Cybersecurity

Tools

Databricks

Snowflake

Kafka

Airflow

LangGraph

Job description

State Street is seeking a Senior AI Security Automation Engineer to lead the design and delivery of scalable, agentic AI platforms for cybersecurity operations.

You will architect retrieval‑augmented workflows, build cloud‑native services across AWS/Azure/GCP, and drive secure, observable AI systems with strong engineering leadership. Hybrid work supports collaboration across global teams.