Lead AI Security Platform Engineer (SecOps & Automation)

U.S. Bank; Irving (TX); On-site; USD 133,000 - 157,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid vacation

Parental leave

Sick leave

Disability insurance

Life insurance

Job summary

U.S. Bank is seeking an AI Security Platform Engineer to lead the engineering and operational enablement of security platforms and AI-powered capabilities, connecting security operations, engineering, architecture, and AI teams to deliver secure, scalable solutions.

The role designs pipelines, agent orchestration, AI workflow integrations, observability, and governance to support responsible use of AI in security operations, while providing project leadership and risk management.

Qualifications

• 7+ years of cybersecurity engineering experience across multiple information security domains.
• 2+ years of hands-on experience implementing AI, Generative AI, Machine Learning, Agentic AI, or AI platform technologies.
• Experience building and supporting security automation, SOAR, or enterprise security platform engineering solutions.
• Strong software engineering skills with Python, API development/integration, and automation of security workflows.
• Experience with Microsoft Sentinel, security orchestration technologies, and production Security Operations environments.
• Hands-on experience with Azure, AWS, cloud-native services, and Infrastructure as Code (Terraform, Bicep, ARM, or similar).
• Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, MCP, RAG architectures, AI orchestration frameworks, and enterprise AI services such as Azure OpenAI or Security Copilot.
• Proven ability to lead complex technical initiatives, communicate security risk to senior stakeholders, and influence scalable, risk-aligned solutions.

Responsibilities

• Lead the implementation, integration, deployment, and support of Agentic SOC, AI-powered security operations, and autonomous investigation capabilities.
• Design and develop security automation solutions using Python, REST APIs, cloud services, and Infrastructure as Code (IaC).
• Build and maintain RAG architectures, agent orchestration frameworks, evidence acquisition pipelines, knowledge retrieval services, and AI workflow integrations.
• Establish secure engineering standards, reusable patterns, and architecture frameworks for AI-enabled security platforms and services.
• Design scalable integrations across Microsoft Sentinel, SOAR, threat intelligence, endpoint, identity, cloud, and email security platforms.
• Implement AI observability, monitoring, auditability, and explainability capabilities.
• Identify security risks related to AI models, agents, data flows, cloud platforms, and third-party technologies while developing practical mitigation strategies.
• Partner with Security Operations, Architecture, Risk, Data, and Technology teams to improve detection, triage consistency, autonomous investigations, and reduce MTTR.

Skills

Cybersecurity engineering

AI/Agentic AI

Security automation

SOAR

Security operations

Python

REST APIs

Microsoft Sentinel

Azure

AWS

Terraform

Bicep/ARM

LangChain

LangGraph

Semantic Kernel

Tools

Python

REST APIs

Microsoft Sentinel

Azure

AWS

Terraform

Job description

U.S. Bank is seeking an AI Security Platform Engineer to lead the engineering and operational enablement of security platforms and AI-powered capabilities, connecting security operations, engineering, architecture, and AI teams to deliver secure, scalable solutions.

The role designs pipelines, agent orchestration, AI workflow integrations, observability, and governance to support responsible use of AI in security operations, while providing project leadership and risk management.