Cybersecurity Architecture and Engineering Manager

Manager - MFT KGS CH

Manager, Cyber Architecture and Engineering

Key Responsibilities:

• Apply a thorough knowledge of information security, enterprise architecture, cloud platforms, identity, data protection, application security, and AI security to define enterprise-level security architecture patterns, standards, reference models, and design guidance that align with the firm’s goals and objectives while addressing evolving threats to the firm’s environment and data.

• Serve as an internal trusted advisor providing enterprise AI security architecture guidance across multiple technical domains to technology teams, security teams, business stakeholders, and other professionals. Provide advice on security design, explain security risk trade-offs, identify compensating control alternatives, and enable business adoption of AI and emerging technologies in a secure and scalable manner.

• Design secure architecture patterns for AI solutions, including AI-enabled applications, enterprise AI platforms, agentic workflows, model integrations, data pipelines, APIs, cloud-hosted AI services, SaaS-based AI capabilities, and internally developed AI solutions operating across public cloud, private cloud, and enterprise technology environments.

• Develop and maintain enterprise security reference architectures, control patterns, technical standards, reusable design guardrails, architectural decision frameworks, and implementation guidance that promote consistency, reduce rework, prevent repeated reinvention of security design, and support secure technology decisions across federated initiatives.

• Develop and maintain effective working relationships with architecture, engineering, infrastructure, cloud, identity, data, privacy, legal, risk, compliance, cyber operations, product, and business teams to align AI-related technology decisions with enterprise security strategy, regulatory expectations, modernization goals, and long-term risk reduction objectives.

• Stay abreast of emerging trends, threats, attack patterns, vendor capabilities, and control models related to AI, Gen AI, autonomous agents, cybersecurity, cloud security, application security, identity, automation, and secure software development; participate in internal skills development activities and provide technical leadership, coaching, and guidance to security architects, engineers, and technology professionals.

Qualifications:

1. Bachelor’s degree from an accredited college or university is preferred; minimum of 10 years of experience in security architecture, enterprise architecture, cloud security, application security, AI security, cybersecurity engineering, or related technology security roles; equivalent industry experience may be considered.

2. 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.

3. Experience designing and securing solutions in complex and regulated enterprise environments, including the ability to define pragmatic security controls, evaluate risk trade-offs, develop compensating control alternatives, and integrate security requirements into architecture and solution design.

4. Demonstrated ability to define and document enterprise security standards, reference architectures, control baselines, reusable architecture patterns, technical guardrails, and implementation guidance that support consistent and scalable secure technology delivery.

5. 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.

6. Strong verbal and written communication skills, with the ability to effectively interact with individuals at all levels of responsibility and authority; ability to operate independently, influence outcomes in a highly matrixed environment, exercise sound judgment, and solve ambiguous and complex architecture challenges.

    

Experience Level

Senior Level