Lead Infosecurity Engineer - AI Security Platform

U.S. Bank•Brookfield, WI

2d•$133,365 - $156,900•Hybrid

About The Position

U.S. Bank is seeking an AI Security Platform Engineer to lead engineering and operational enablement of commercial agentic security operations platforms and AI-powered security capabilities. The role connects security operations, security engineering, security architecture, and AI engineering to deliver secure, reliable, explainable, production-ready solutions. The engineer will integrate AI security platforms with Microsoft Sentinel, security orchestration and automation technologies, threat intelligence platforms, endpoint and identity systems, email and cloud security platforms, and internal security workflows. The position includes designing and maintaining evidence acquisition pipelines, agent orchestration frameworks, AI workflow integrations, observability capabilities, and governance controls for responsible use of AI in security operations. The role provides project and change leadership, security oversight, and risk management for complex information security initiatives. It sets design guidelines and implementation patterns, identifies emerging risks, develops mitigation plans, influences senior leaders toward simplified solutions, and builds organizational relationships. It also includes training and mentoring team members and may involve contributing to projects that develop new intellectual property. The Senior Security Engineer will lead the design, engineering, and deployment of next-generation AI-powered Security Operations capabilities, combining cybersecurity engineering, security automation, SOAR, cloud security, and agentic AI to build scalable, secure, autonomous security operations platforms. The role supports AI-driven automation, advanced orchestration, and intelligent decision support while ensuring governance, observability, and risk management. The role requires working from a U.S. Bank location three or more days per week. Salary range is $133,365 to $156,900; the actual range may vary by location.

Requirements

7 or more years of cybersecurity engineering experience with expertise across multiple information security domains.
2 or more 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 and 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 such as 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.
Ability to lead complex technical initiatives, communicate security risk to senior stakeholders, and influence scalable, risk-aligned solutions.

Nice To Haves

Experience with vector databases and retrieval services such as Azure AI Search, Pinecone, or Redis Vector.
Knowledge of AI governance, observability, audit logging, data lineage, and model monitoring.
Experience with graph technologies such as Neo4j, Amazon Neptune, or TigerGraph.
Familiarity with Kubernetes, cloud-native architectures, and security data engineering.
Experience supporting highly regulated environments such as financial services, banking, or healthcare.

Responsibilities

Lead 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.
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 to improve operational performance and governance.
Identify security risks related to AI models, agents, data flows, cloud platforms, and third-party technologies, and develop practical mitigation strategies.
Partner with Security Operations, Architecture, Risk, Data, and Technology teams to improve detection, triage consistency, and autonomous investigations, and reduce MTTR.
Provide project and change leadership, security oversight, and risk management for complex information security initiatives.
Set design guidelines and implementation patterns; identify emerging risks and develop mitigation plans.
Influence senior leaders toward simplified solutions and build trusted relationships across the organization.
Train and mentor team members; potentially contribute to projects developing new intellectual property.

Benefits

Medical, dental, and vision healthcare.
Basic term and optional term life insurance.
Short-term and long-term disability insurance.
Pregnancy disability and parental leave.
401(k) and employer-funded retirement plan.
Paid vacation, from two to five weeks depending on salary grade and tenure.
Up to 11 paid holiday opportunities.
Adoption assistance.
Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
Incentive and recognition programs.
Equity stock purchase.
Pension, subject to eligibility requirements.