Lead AI Security Platform Engineer — Hybrid

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

Benefits offered by this job

Healthcare benefits

Life insurance

Disability coverage

Parental leave

401(k) retirement plan

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking an AI Security Platform Engineer to lead the design, engineering, and deployment of next‑generation AI‑powered SecOps capabilities.

This role connects security operations with AI engineering to deliver secure, observable, and production‑ready solutions across Microsoft Sentinel, SOAR, threat intel, and cloud security. The engineer will mentor team members, drive governance, and manage risk while collaborating with Architecture, Risk, and Technology teams to simplify complex

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.

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 explain ability capabilities to improve operational performance and governance.
• 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

AI security

SOAR

Python

API development

Cloud security

Tools

Azure

AWS

Terraform

Bicep

Microsoft Sentinel

LangChain

Job description

U.S. Bank is seeking an AI Security Platform Engineer to lead the design, engineering, and deployment of next‑generation AI‑powered SecOps capabilities.

This role connects security operations with AI engineering to deliver secure, observable, and production‑ready solutions across Microsoft Sentinel, SOAR, threat intel, and cloud security. The engineer will mentor team members, drive governance, and manage risk while collaborating with Architecture, Risk, and Technology teams to simplify complex