Senior AI Security Automation Engineer

About the Role

State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Senior AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered platforms. Partnering closely with Global Cyber Security teams, Infrastructure Teams, and Enterprise Continuity Services, this team develops advanced data platforms, intelligent automation solutions, and engineering capabilities that enable cybersecurity teams to make faster, AI-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats.

Responsibilities

As Senior AI Security Automation Engineer, you will drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows. Key responsibilities include:

• 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

The ideal candidate will have demonstrated experience architecting, developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions. Key requirements include:

• Demonstrated experience with cloud-native applications and services leveraging containers, serverless architectures, and modern public cloud platforms
• Proven experience building highly scalable distributed systems utilizing asynchronous processing, event-driven architectures, durable messaging, and high-performance data access patterns
• Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management
• Experience implementing AI evaluation, testing, monitoring, and observability frameworks to measure model quality, reliability, performance, and safe operation in production environments
• Strong API design and integration experience, including the development of secure, reusable, and scalable platform services that enable enterprise-wide adoption of AI capabilities

Qualifications

The ideal candidate will have a Master’s or bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline, with 7+ years of professional software engineering experience and 3+ years of experience developing AI, Machine Learning, or Generative AI solutions.

Skills

Key skills include:

• Strong software engineering fundamentals with expertise in designing and delivering cloud-native applications and services
• Proven experience with AI, Machine Learning, or Generative AI solutions
• Experience with cybersecurity data sources, including endpoint, network, application, cloud, and system telemetry
• Strong understanding of cybersecurity operations, including threat detection, incident response, threat hunting, security analytics, and security automation
• Proficiency in languages such as Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell

Benefits

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes:

• 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

Pay

The salary range for this role is $120,000 - $202,500 Annual.

Schedule

The work shift is 8 AM – 5 PM local time with occasional Level 2-3 escalation resolution to support operational incidents. This hybrid role includes an in-office presence requirement of 2–4 days per week, consistent with the organization's hybrid work policy.