Lead AI Security Automation Engineer

State Street

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MAToronto, Ontario, CanadaBoston, MAPrinceton, NJClifton, NJ
Salary
$120,000–$217,500 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $169k
$107k most similar roles pay here $238k

This role pays less than 59% of similar roles. Most pay $154,425–$216,571 — the shaded band above. At the midpoint, this role pays about $169k versus about $185k for comparable roles.

Based on 240 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 · Lead AI Security Automation Engineer

The Lead AI Security Automation Engineer joins the Cyber Data & Analytics team to develop advanced data platforms and intelligent automation solutions for cybersecurity operations. This role involves leading a high-performing team of engineers to build production-grade agentic AI systems, including tools for memory patterns, guardrails, and tool-use orchestration. You will architect retrieval-augmented generation solutions using embeddings and semantic search while engineering cloud-native solutions across AWS, Azure, and GCP using containers and serverless patterns. Key technologies include Python, JavaScript/TypeScript, Rust, Go, Bash, and PowerShell, alongside frameworks like LangChain or CrewAI. The role also utilizes Databricks, Snowflake, Spark, Kafka, and various vector databases to solve complex problems in threat detection, incident response, and security analytics. You will establish evaluation frameworks and ensure responsible AI governance across the entire platform lifecycle.

What you'll do

  • Build, lead, and mentor a high-performing team of AI Automation Engineers focused on cybersecurity innovation.
  • Architect and deliver scalable agentic AI platforms for security workflows including agents, skills, and memory patterns.
  • Design retrieval and context-engineering solutions using embeddings, semantic search, and prompt management.
  • Engineer cloud-native AI solutions across AWS, Azure, and GCP using containers and serverless architectures.
  • Build well-governed APIs to integrate AI capabilities with existing security platforms and business processes.
  • Establish evaluation, research, and observability frameworks to ensure the quality and safety of agent behavior.
  • Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.

What we're looking for

  • Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline (preferred).
  • 10+ years of professional software engineering experience.
  • 4+ years of experience developing AI, Machine Learning, or Generative AI solutions.
  • Experience designing and deploying enterprise-scale applications, cybersecurity analytics, or operational intelligence solutions.
  • Proficiency in Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell.
  • Expertise in cloud-native development (AWS, Azure, GCP) using containers, serverless patterns, and distributed data stores.
  • Experience with RAG, LLM frameworks (LangChain, LangGraph, etc.), vector databases, and MLOps/LLMOps tools.
  • Demonstrated technical leadership in mentoring engineers and managing geographically distributed teams.

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