Senior Cloud Security Architect

BMO•Chicago, IL

2d•$122,400 - $228,000•Onsite

About The Position

Lead the design and maturity of end-to-end cloud security across multi-cloud environments (AWS, Azure, GCP), with responsibility spanning core cyber domains, CSPM/CNAPP strategy, and emerging AI/Agentic AI security. Drive enterprise-wide security improvements through architecture, governance, and cross-functional engagement. Leads and facilitates the design and implementation of repeatable technical solutions and processes related to technology architecture. Defines and documents efficient and transparent architecture principles, standards and guidelines regarding the proper use and deployment of business applications, data and technology within the Bank. Partners with broader stakeholders in technology and business in defining architecture possibilities and futures. Works with business and development teams in recommending process or system design and enhancements. Ensures that systems are functionally appropriate, technically sound and well-integrated. Provides immediate response to critical production program-wide problems to evaluate solutions, coordinate recovery and ensure resolution.

Requirements

Bachelor’s degree in Computer Science, Cybersecurity, or relevant field
7+ years specifically in cloud security with multi-domain architecture experience
Expertise across AWS, Azure, and/or GCP security
Experience with CSPM/CNAPP platforms (Wiz, Prisma, Defender, etc.)
Experience with AI/ML platforms and cloud-based AI services
Strong understanding of cloud security frameworks and standards (CIS, NIST, CSA, MITRE, AI RMF, OWASP LLM
Expert in cloud-native security controls (IAM, KMS, VPC security, encryption, logging, and monitoring)
Strong communication and collaboration skills, with a proven ability to influence stakeholders

Responsibilities

Own secure cloud architecture aligned to Zero Trust principles
Act as enterprise SME across all cyber domains, driving engagement and measurable improvements
Integrate security into platform, infrastructure, and AI adoption strategies
Balance risk, scalability, and operational effectiveness
Define and mature CSPM/CNAPP platform strategy across multi-cloud
Establish policy frameworks, risk prioritization, and control standards
Drive holistic visibility across assets, identities, workloads, and data
Integrate posture insights into risk management, operations, and governance
Improve signal-to-noise and remediation effectiveness at scale
Define secure architecture patterns for AI and Agentic AI workloads
Establish guardrails for AI service usage and autonomous workflows
Ensure secure integration with enterprise identity, data, and cloud platforms
Drive governance, accountability, and risk visibility across AI adoption