Job opportunity
Senior AI Security Automation Engineer
State Street
Architect agentic AI platforms and cybersecurity automation with State Street’s CyberDNA team in a hybrid engineering environment. Apply cloud-native software expertise across security workflows.
As a Senior AI Security Automation Engineer, you will develop production-grade Generative AI and Large Language Model solutions. You will work across cybersecurity, data engineering, full-stack development, and public cloud platforms. The team delivers governed AI capabilities supporting security operations and enterprise adoption.
Key Responsibilities:
Architect scalable agentic AI platforms for security workflows
Build agents, guardrails, memory, skills, and tool orchestration
Engineer AWS, Azure, and Google Cloud AI services
Develop retrieval, grounding, embeddings, and prompt-management approaches
Establish evaluation, testing, and observability frameworks
Requirements:
Seven-plus years of professional software engineering experience
Three-plus years developing AI, machine learning, or Generative AI
Experience with production-grade LLM and agentic solutions
Expertise in containers, serverless architectures, and public clouds
Bachelor’s or master’s degree in a related discipline
Bring AI architecture, cloud engineering, and cybersecurity automation expertise to State Street’s CyberDNA platform engineering team.
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Apply on source site As a Senior AI Security Automation Engineer, you will develop production-grade Generative AI and Large Language Model solutions. You will work across cybersecurity, data engineering, full-stack development, and public cloud platforms. The team delivers governed AI capabilities supporting security operations and enterprise adoption.
Key Responsibilities:
Architect scalable agentic AI platforms for security workflows
Build agents, guardrails, memory, skills, and tool orchestration
Engineer AWS, Azure, and Google Cloud AI services
Develop retrieval, grounding, embeddings, and prompt-management approaches
Establish evaluation, testing, and observability frameworks
Requirements:
Seven-plus years of professional software engineering experience
Three-plus years developing AI, machine learning, or Generative AI
Experience with production-grade LLM and agentic solutions
Expertise in containers, serverless architectures, and public clouds
Bachelor’s or master’s degree in a related discipline
Bring AI architecture, cloud engineering, and cybersecurity automation expertise to State Street’s CyberDNA platform engineering team.
#J-18808-Ljbffr