Lead Agentic AI Security Platform Engineer

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

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) plan

Paid vacation

Paid holidays

Job summary

U.S. Bank is seeking an AI Security Platform Engineer to lead the engineering and operational enablement of AI-powered security operations platforms.

You will connect security operations, engineering, architecture, and AI teams to deliver secure, reliable, explainable, production-ready solutions. The role focuses on designing evidence pipelines, agent orchestration, AI workflow integrations, observability, and governance to enable responsible use of AI in security operations.

Qualifications

• 7+ years of cybersecurity engineering experience.
• 2+ years hands-on AI/Generative AI experience.
• Experience building security automation, SOAR, or enterprise security platform engineering.
• Strong Python, API development, and automation of security workflows.
• Experience with Microsoft Sentinel and security orchestration technologies.
• Hands-on with Azure, AWS, and Infrastructure as Code (Terraform/Bicep/ARM).
• Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, MCP, RAG architectures, and Azure OpenAI/Security Copilot.
• Proven ability to lead complex technical initiatives and communicate security risk to senior stakeholders.

Responsibilities

• Lead implementation, integration, deployment, and support of Agentic SOC and AI-powered security operations.
• Design and develop security automation solutions using Python, REST APIs, cloud services, and IaC.
• Build and maintain RAG architectures, agent orchestration frameworks, evidence pipelines, and AI workflow integrations.
• Establish secure engineering standards and reusable patterns for AI-enabled security platforms.
• Design scalable integrations across Microsoft Sentinel, SOAR, threat intel, endpoint, identity, cloud, and email security.
• Implement AI observability, monitoring, auditability, and explainability capabilities.
• Identify security risks related to AI models, data flows, and cloud platforms with mitigation plans.
• Partner with Security Operations, Architecture, Risk, Data, and Technology teams to improve detection and autonomous investigations.

Skills

Cybersecurity engineering

AI/Generative AI

SOAR

Security automation

Python

API development

Automation

Microsoft Sentinel

Security orchestration

Azure

AWS

Infrastructure as Code

LangChain

LangGraph

Semantic Kernel

LlamaIndex

MCP

RAG architectures

AI orchestration

Azure OpenAI

Security Copilot

Leadership

Job description

U.S. Bank is seeking an AI Security Platform Engineer to lead the engineering and operational enablement of AI-powered security operations platforms.

You will connect security operations, engineering, architecture, and AI teams to deliver secure, reliable, explainable, production-ready solutions. The role focuses on designing evidence pipelines, agent orchestration, AI workflow integrations, observability, and governance to enable responsible use of AI in security operations.