Lead Cybersecurity Architect

Shape the future of cybersecurity architecture — protect platforms, drive impact, and build what matters at a global scale.

Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers.

As a Sr Lead Cybersecurity Architect at JPMorganChase within Cybersecurity and Technology Controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

Job responsibilities

Guide evaluation of current cybersecurity principles, processes, and controls, and lead evaluation of new technology using existing standards and frameworks, influencing peers and decision-makers to adopt leading-edge solutions where appropriate

Leverage enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors, serving as a function-wide subject matter expert in one or more areas of focus

Partner with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability

Contribute actively to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the software development lifecycle

Drive reuse-first adoption of AI-assisted security validation within software development lifecycle and toolchain routines, improving control testing, remediation quality, and traceability and auditability in line with resiliency expectations

Required qualifications, capabilities, and skills

Formal training or certification on cybersecurity architecture concepts and 5+ years applied experience

Hands-on experience conducting threat modeling, attack-surface analysis, or security architecture assessments

Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls

Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity

Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations

Advanced expertise in one or more programming languages and/or applications, with advanced knowledge of cybersecurity architecture, applications, and technical processes within one or more technical disciplines (e.g., public cloud, AI/ML, mobile)

Ability to tackle design and functionality problems independently with little to no oversight

Ability to evaluate current and emerging technologies to select or recommend the best solutions for future-state architecture

Experience effectively communicating complex security concepts to senior business leaders and non-technical stakeholders

Preferred qualifications, capabilities, and skills

Experience securing enterprise cloud and software-as-a-service environments, including assessing architecture, data flows, identity, access, integrations, and security controls across third-party services

Security architecture experience across major cloud platforms, including AWS, GCP, and Microsoft Azure, with an understanding of cloud-native security controls and shared responsibility models

Experience evaluating software-as-a-service integrations, APIs, OAuth applications, service principals, application identities, and machine-to-machine authentication from a security and risk perspective

Experience securing AI/ML and large language model-enabled applications, agents, and emerging AI capabilities, including risks associated with data access, permissions, external integrations, and third-party model dependencies

Experience developing security control baselines, architecture standards, threat models, assessment frameworks, and reusable security patterns across cloud and software-as-a-service technologies

Familiarity with established security frameworks and methodologies such as NIST, MITRE ATT&CK, STRIDE, OWASP, and zero-trust principles

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