AI Security Automation Engineer-Officer

About the role

The Cyber Data & Analytics (CyberDNA) team at State Street is seeking an AI Security Automation Engineer to develop 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

• Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
• Leverages enterprise-authorized AI-assisted development and automation capabilities to improve code quality, delivery speed, and productivity across complex deliverables
• Collaborate with geographically distributed team members through virtual collaboration, fostering strong partnerships, driving technical outcomes, and building effective relationships across engineering organizations

Qualifications

• Experience developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions, including agentic workflows, intelligent agents, and enterprise tool integration frameworks
• 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, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management
• Experience with vector databases, semantic search, and enterprise RAG platforms
• Education: Master’s or bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline
• Professional software engineering experience: 1-2+ years
• Experience developing AI, Machine Learning, or Generative AI solutions: 1+ years