
Banking · 87k people
Lead Infosecurity Engineer - AI Security Platform
Posted 28 Oct
What’s this role about? Lead the engineering and operational enablement of AI-powered security platforms and autonomous investigation capabilities. Design and maintain secure, scalable integrations across cloud, identity, and security orchestration systems while ensuring robust governance and observability.
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Company
About U.S. Bank At U.S. Bank, we help millions of clients achieve their goals with a balance of best-in-class technology and human expertise tailored to individual needs. As the fifth-largest commercial bank in the United States, we’ve built a reputation for strength and stability across a diversified mix of businesses, including commercial and institutional banking, business banking, payments, wealth management and consumer banking. We’ve been named one of the World’s Most Ethical Companies® by the Ethisphere Institute and the most admired superregional bank by Fortune. In addition to thousands of branches serving consumers, U.S. Bank offers a complete suite of products, services and strategic partnerships for business. Within our Wealth, Corporate, Commercial and Institutional Banking division, we serve more than half a million clients across the country and around the world, ranging from wealthy individuals and families to the largest corporations, including 90% of Fortune 1000 companies. We’re also consistently recognized as a great place to work. We’re shaping our company culture with intention, focused on creating a workplace where it’s safe to speak up, share ideas and try new things. We’re proud to be recognized as a “Best for Vets” employer by the Military Times and included on Fair360’s (formerly DiversityInc.) list of Top 50 Companies for Diversity. U.S. Bank, NA. Member FDIC. Equal Housing Lender.
U.S. Bank

Responsibilities
- U.S. Bank is seeking an AI Security Platform Engineer to lead the engineering and operational enablement of commercial agentic security operations platforms and AI-powered security capabilities. This role connects security operations, security engineering, security architecture, and AI engineering to deliver secure, reliable, explainable, and 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 role will design and maintain evidence acquisition pipelines, agent orchestration frameworks, AI workflow integrations, observability capabilities, and governance controls that support effective and responsible use of AI in security operations.
- This position provides project and change leadership, security oversight, and risk management for complex information security initiatives. The engineer will set design guidelines and implementation patterns, identify emerging risks, develop mitigation plans, influence senior leaders toward simplified solutions, and build trusted relationships across the organization. The role also trains and mentors team members and may contribute 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 (SecOps) capabilities. This role combines deep expertise in cybersecurity engineering, security automation, SOAR, cloud security, and agentic AI to build scalable, secure, and autonomous security operations platforms. The ideal candidate will help transform security investigations through AI-driven automation, advanced orchestration, and intelligent decision-support capabilities while ensuring robust governance, observability, and risk management.
- 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.
Qualification
Required
- 7+ years of cybersecurity engineering experience with expertise 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.
Preferred
- 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.
- This role requires working from a U.S. Bank location three (3) or more days per week.
- If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits
- Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- 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 worked, up to 80 hours per calendar year unless otherwise provided by law
- Review our full benefits available by employment status here.
- The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00
- Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
- Posting may be closed earlier due to high volume of applicants.
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