Senior AI Security Automation Engineer

State Street

Senior AI Security Automation Engineer developing scalable AI platforms for cybersecurity. Working at the intersection of AI, data engineering, and security operations at State Street.

Posted 7/21/2026full-timeQuincy • Massachusetts, New Jersey • 🇺🇸 United StatesSenior💰 $120,000 - $202,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and delivering scalable AI platforms, with a strong focus on security workflows and cloud-native services. Proficient in developing AI solutions, optimizing performance, and establishing engineering standards for reliability and security.

Highest-signal resume keywords

AI Platform ArchitectureCloud-Native Services in AWS, Azure, GCPMachine Learning and Generative AI SolutionsCybersecurity and Operational IntelligenceAPI Development and Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI System DesignPerformance OptimizationData Store ManagementEvent-Driven MessagingSemantic SearchContext EngineeringRegression TestingObservability FrameworksEnterprise-Scale Application Deployment

Soft Skills

MentoringTechnical LeadershipCross-Team Collaboration

Tools & Technologies

ContainersServerless PatternsEmbeddingsGuardrailsPrompt Management

Industry Keywords

CybersecurityAnalyticsOperational IntelligenceAI GovernanceQuality Improvement

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsGoGoogle Cloud PlatformJavaScriptPythonRustTypeScript

About the role

Key responsibilities & impact

Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
Architect 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, event-driven messaging, and distributed data stores
Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes
Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
Mentor junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership

Requirements

What you’ll need

7+ years of professional software engineering experience
3+ years of experience developing AI, Machine Learning, or Generative AI solutions
Demonstrated success designing and deploying enterprise-scale applications and platforms
Experience developing cybersecurity, analytics, or operational intelligence solutions
Master’s or bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline

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 (excluding certain sales roles subject to sales incentive plans)
eligibility for certain tax advantaged savings plans