Enterprise AI Security Architect Manager

Job Summary

Required Qualifications

• •Bachelor's degree from an accredited college or university
• •Minimum of 5-8 years of experience in security architecture, enterprise architecture, cloud security, application security, AI security, cybersecurity engineering, or related technology security roles
• •Equivalent industry experience
• •Technical expertise across multiple domains including AI security, cloud computing, application architecture, identity and access management, data security, infrastructure security, endpoint security, SaaS security, DevSecOps, secure software development, and emerging technologies
• •Experience designing and securing solutions in complex and regulated enterprise environments
• •Ability to define pragmatic security controls
• •Ability to evaluate risk trade-offs
• •Ability to develop compensating control alternatives
• •Ability to integrate security requirements into architecture and solution design
• •Demonstrated ability to define and document enterprise security standards, reference architectures, control baselines, reusable architecture patterns, technical guardrails, and implementation guidance
• •Understanding of cloud computing architecture, technical design, and implementation models, including IaaS, PaaS, SaaS, containerized workloads, serverless services, and enterprise cloud-native architectures across multiple public cloud providers
• •Strong verbal and written communication skills
• •Ability to effectively interact with individuals at all levels of responsibility and authority
• •Ability to operate independently
• •Ability to influence outcomes in a highly matrixed environment
• •Ability to exercise sound judgment
• •Ability to solve ambiguous and complex architecture challenges
• •Must be in the office at least five days per month
• •Must be able to use KPMG-approved Generative AI tools to support daily work tasks
• •Must be able to work in a fast-paced team environment
• •Must be able to work in a paperless environment
• •Must be able to use information systems for the entire workday to access data or perform activities
• •Must be able to work extended hours periodically or on public holidays

Desired Qualifications

• •Master's degree or higher education in a relevant field
• •Experience with AI-enabled applications
• •Experience with enterprise AI platforms
• •Experience with agentic workflows
• •Experience with model integrations
• •Experience with data pipelines
• •Experience with APIs
• •Experience with cloud-hosted AI services
• •Experience with SaaS-based AI capabilities
• •Experience with internally developed AI solutions
• •Experience operating across public cloud, private cloud, and enterprise technology environments
• •Experience with secure software development
• •Experience with emerging technologies
• •Knowledge of information security
• •Knowledge of enterprise architecture
• •Knowledge of cloud platforms
• •Knowledge of identity
• •Knowledge of data protection
• •Knowledge of application security
• •Knowledge of AI security
• •Knowledge of cybersecurity
• •Knowledge of automation
• •Knowledge of secure software development
• •Knowledge of Gen AI
• •Knowledge of autonomous agents
• •Knowledge of cybersecurity
• •Knowledge of cloud security
• •Knowledge of application security
• •Knowledge of identity
• •Knowledge of risk
• •Knowledge of compliance
• •Knowledge of cyber operations
• •Knowledge of product
• •Knowledge of business
• •Knowledge of regulatory expectations
• •Knowledge of modernization goals
• •Knowledge of long-term risk reduction objectives
• •Knowledge of vendor capabilities
• •Knowledge of control models
• •Knowledge of emerging trends
• •Knowledge of threats
• •Knowledge of attack patterns
• •Knowledge of technical leadership
• •Knowledge of coaching
• •Knowledge of guidance
• •Knowledge of security architects
• •Knowledge of engineers
• •Knowledge of technology professionals
• •Knowledge of federated initiatives
• •Knowledge of security design
• •Knowledge of security risk trade-offs
• •Knowledge of compensating control alternatives
• •Knowledge of business adoption
• •Knowledge of AI
• •Knowledge of emerging technologies
• •Knowledge of secure and scalable manner
• •Knowledge of consistency
• •Knowledge of reduced rework
• •Knowledge of repeated reinvention
• •Knowledge of secure technology decisions
• •Knowledge of technical domains
• •Knowledge of technology teams
• •Knowledge of security teams
• •Knowledge of business stakeholders
• •Knowledge of other professionals
• •Knowledge of advice
• •Knowledge of security design
• •Knowledge of explain security risk trade-offs
• •Knowledge of identify compensating control alternatives
• •Knowledge of enable business adoption
• •Knowledge of AI
• •Knowledge of emerging technologies
• •Knowledge of secure and scalable manner
• •Knowledge of design secure architecture patterns
• •Knowledge of AI solutions
• •Knowledge of AI-enabled applications
• •Knowledge of enterprise AI platforms
• •Knowledge of agentic workflows
• •Knowledge of model integrations
• •Knowledge of data pipelines
• •Knowledge of APIs
• •Knowledge of cloud-hosted AI services
• •Knowledge of SaaS-based AI capabilities
• •Knowledge of internally developed AI solutions
• •Knowledge of operating across public cloud
• •Knowledge of private cloud
• •Knowledge of enterprise technology environments
• •Knowledge of develop and maintain effective working relationships
• •Knowledge of architecture
• •Knowledge of engineering
• •Knowledge of infrastructure
• •Knowledge of cloud
• •Knowledge of identity
• •Knowledge of data
• •Knowledge of privacy
• •Knowledge of legal
• •Knowledge of risk
• •Knowledge of compliance
• •Knowledge of cyber operations
• •Knowledge of product
• •Knowledge of business teams
• •Knowledge of align AI-related technology decisions
• •Knowledge of enterprise security strategy
• •Knowledge of regulatory expectations
• •Knowledge of modernization goals
• •Knowledge of long-term risk reduction objectives
• •Knowledge of stay abreast of emerging trends
• •Knowledge of threats
• •Knowledge of attack patterns
• •Knowledge of vendor capabilities
• •Knowledge of control models
• •Knowledge of related to AI
• •Knowledge of Gen AI
• •Knowledge of autonomous agents
• •Knowledge of cybersecurity
• •Knowledge of cloud security
• •Knowledge of application security
• •Knowledge of identity
• •Knowledge of automation
• •Knowledge of secure software development
• •Knowledge of participate in internal skills development activities
• •Knowledge of provide technical leadership
• •Knowledge of coaching
• •Knowledge of guidance
• •Knowledge of security architects
• •Knowledge of engineers
• •Knowledge of technology professionals
• •Knowledge of define enterprise-level security architecture patterns
• •Knowledge of standards
• •Knowledge of reference models
• •Knowledge of design guidance
• •Knowledge of align with the firm's goals and objectives
• •Knowledge of addressing evolving threats
• •Knowledge of the firm's environment
• •Knowledge of data
• •Knowledge of serve as an internal trusted advisor
• •Knowledge of providing enterprise AI security architecture guidance
• •Knowledge of across multiple technical domains
• •Knowledge of technology teams
• •Knowledge of security teams
• •Knowledge of business stakeholders
• •Knowledge of other professionals
• •Knowledge of provide advice on security design
• •Knowledge of explain security risk trade-offs
• •Knowledge of identify compensating control alternatives
• •Knowledge of enable business adoption
• •Knowledge of AI and emerging technologies
• •Knowledge of secure and scalable manner
• •Knowledge of develop and maintain enterprise security reference architectures
• •Knowledge of control patterns
• •Knowledge of technical standards
• •Knowledge of reusable design guardrails
• •Knowledge of architectural decision frameworks
• •Knowledge of implementation guidance
• •Knowledge of promote consistency
• •Knowledge of reduce rework
• •Knowledge of prevent repeated reinvention
• •Knowledge of security design
• •Knowledge of support secure technology decisions
• •Knowledge of federated initiatives
• •Knowledge of develop and maintain effective working relationships
• •Knowledge of architecture
• •Knowledge of engineering
• •Knowledge of infrastructure
• •Knowledge of cloud
• •Knowledge of identity
• •Knowledge of data
• •Knowledge of privacy
• •Knowledge of legal
• •Knowledge of risk
• •Knowledge of compliance
• •Knowledge of cyber operations
• •Knowledge of product
• •Knowledge of business teams
• •Knowledge of align AI-related technology decisions
• •Knowledge of enterprise security strategy
• •Knowledge of regulatory expectations
• •Knowledge of modernization goals
• •Knowledge of long-term risk reduction objectives
• •Knowledge of stay abreast of emerging trends
• •Knowledge of threats
• •Knowledge of attack patterns
• •Knowledge of vendor capabilities
• •Knowledge of control models
• •Knowledge of related to AI
• •Knowledge of Gen AI
• •Knowledge of autonomous agents
• •Knowledge of cybersecurity
• •Knowledge of cloud security
• •Knowledge of application security
• •Knowledge of identity
• •Knowledge of automation
• •Knowledge of secure software development
• •Knowledge of participate in internal skills development activities
• •Knowledge of provide technical leadership
• •Knowledge of coaching
• •Knowledge of guidance
• •Knowledge of security architects
• •Knowledge of engineers
• •Knowledge of technology professionals