AI Security Automation Engineer

State Street

AI Security Automation Engineer developing advanced AI platforms and security solutions for State Street. Collaboration with global teams to enhance cybersecurity through intelligent automation and data-driven approaches.

Posted 7/21/2026full-timeQuincy • Massachusetts, New Jersey, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $70,000 - $118,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production-grade AI systems and cloud-native applications, with a strong focus on Generative AI, Large Language Models, and retrieval-augmented generation solutions. Proficient in utilizing modern public cloud platforms and engineering well-governed APIs and integrations.

Highest-signal resume keywords

Generative AI DevelopmentLarge Language Model SolutionsCloud-Native Application EngineeringRetrieval-Augmented Generation ExpertisePython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AILarge Language ModelCloud-Native ApplicationsRetrieval-Augmented GenerationPythonJavaScriptTypeScriptRustGoBash

Soft Skills

CollaborationTeamwork

Tools & Technologies

AWSAzureGCPContainersServerless ArchitecturesAI-Assisted Software Development Tools

Industry Keywords

AI SystemsAPIsObservability FrameworksEngineering StandardsSecurity

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaScriptPythonRustTypeScript

About the role

Key responsibilities & impact

Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
Build retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns
Build well-governed APIs and integrations
Establish evaluation, research, regression testing, and observability frameworks
Follow defined engineering standards for reliability, security, and safe AI operation

Requirements

What you’ll need

Experience developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions
Strong software engineering fundamentals with expertise in designing and delivering cloud-native applications and services leveraging containers, serverless architectures, and modern public cloud platforms
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions
Hands-on experience utilizing enterprise-approved AI-assisted software development tools
Ability to collaborate and work with geographically distributed team members
Strong software development and automation skills with experience in Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell

Benefits

Comp & perks

our retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards