Diverse Lynx
Job Title: Cybersecurity Architect - Identity Management, Network Security, SOC, GRC & AI Security
Location: US
Department: Information Security / Cybersecurity
Reports To: Cyber Security Leader - AMS
Position Overview We are seeking an experienced
Cybersecurity Architect
to design, implement, and lead the organization's cybersecurity architecture with a focus on
Identity and Access Management (IAM) ,
Network Security ,
Security Operations (SOC) ,
Governance, Risk, and Compliance (GRC) , and
AI Security . The ideal candidate will combine deep technical expertise with strategic insight into risk management, compliance frameworks, and the evolving security landscape surrounding
AI and machine learning systems .
Key Responsibilities 1. Security Architecture & Strategy
Develop and maintain enterprise-wide cybersecurity architecture aligned with business goals, emerging threats, and regulatory requirements. Establish and maintain
security reference architectures , standards, and patterns for hybrid and multi-cloud environments. Integrate security-by-design principles into all technology initiatives, including data, AI, and application development. 2. Identity & Access Management (IAM)
Architect and oversee
SSO, MFA, PAM, and federation (SAML, OIDC, OAuth2)
implementations. Lead the lifecycle management of identities, roles, and entitlements across cloud and on-prem environments. Apply
Zero Trust
principles for identity and access governance. 3. Network Security
Design and maintain
secure network architectures
(on-prem, hybrid, and cloud). Manage
firewalls, VPNs, IDS/IPS, NAC, SD-WAN security , and
microsegmentation
initiatives. Collaborate with network engineering teams to implement
Zero Trust Network Access (ZTNA) . Conduct network threat modeling and assist in security validation and penetration testing. 4. Security Operations (SOC)
Provide architectural direction for
SIEM, SOAR, EDR/XDR , and
threat intelligence
systems. Collaborate with SOC teams to improve detection, response, and automation. Define threat modeling, incident response frameworks, and SOC maturity improvement roadmaps. 5. Governance, Risk, and Compliance (GRC)
Establish a strong cybersecurity governance framework aligned with
ISO 27001, NIST CSF, CIS, GDPR, PCI-DSS , and other standards. Perform risk assessments, track remediation, and ensure security controls meet regulatory and policy requirements. Oversee security audits and compliance reporting in coordination with risk and legal teams. 6. AI Security
Design and implement
AI/ML system security architectures , focusing on
model integrity, data privacy, and secure AI pipelines . Define controls for
AI model governance , including versioning, explainability, and ethical AI usage. Collaborate with data science and AI engineering teams to integrate
threat modeling, adversarial testing , and
data protection
into AI systems. Evaluate and mitigate risks associated with
prompt injection, model poisoning, data leakage , and
unauthorized model access . Stay current with emerging
AI security standards, regulations (e.g., EU AI Act) , and best practices. 7. Leadership & Collaboration
Serve as a trusted advisor to senior leadership on cybersecurity, risk, and AI safety. Mentor engineers and analysts on architectural best practices and security design principles. Promote a culture of proactive security awareness and continuous improvement.
Qualifications Education & Experience
Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field. 10+ years
of experience in cybersecurity, with
3+ years
in an architectural or leadership capacity. Technical Skills
Deep knowledge of
IAM technologies
(Okta, Azure AD, SailPoint, CyberArk, Ping). Strong expertise in
network security
(firewalls, IDS/IPS, NAC, VPN, SD-WAN, microsegmentation). Experience designing SOC infrastructure (SIEM, SOAR, EDR/XDR). Understanding of
AI/ML systems , data protection, and secure model lifecycle management. Familiarity with
AI risk frameworks
(NIST AI RMF, ISO/IEC 23894, EU AI Act). Experience with
cloud security
(AWS, Azure, GCP) and
Zero Trust architectures . Strong understanding of
regulatory and compliance standards
(ISO 27001, NIST, GDPR, SOC 2). Certifications (Preferred)
CISSP, CCSP, or CISM. Certified Identity and Access Manager (CIAM) or equivalent IAM certification. Network Security certifications (CND, CCNP Security, Palo Alto PCNSE, Fortinet NSE). AI Security or AI Governance certifications (e.g.,
MIT AI Risk & Security ,
(ISC)2 AI+ ,
NIST AI RMF Training ). CRISC, CISA, or ISO 27001 Lead Implementer for GRC expertise.
Soft Skills
Strategic thinker with a forward-looking approach to emerging technologies and threats. Strong communication and leadership skills with the ability to influence across teams. Excellent analytical, problem-solving, and risk assessment capabilities. Ability to translate complex technical issues into clear business impacts.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Position Overview We are seeking an experienced
Cybersecurity Architect
to design, implement, and lead the organization's cybersecurity architecture with a focus on
Identity and Access Management (IAM) ,
Network Security ,
Security Operations (SOC) ,
Governance, Risk, and Compliance (GRC) , and
AI Security . The ideal candidate will combine deep technical expertise with strategic insight into risk management, compliance frameworks, and the evolving security landscape surrounding
AI and machine learning systems .
Key Responsibilities 1. Security Architecture & Strategy
Develop and maintain enterprise-wide cybersecurity architecture aligned with business goals, emerging threats, and regulatory requirements. Establish and maintain
security reference architectures , standards, and patterns for hybrid and multi-cloud environments. Integrate security-by-design principles into all technology initiatives, including data, AI, and application development. 2. Identity & Access Management (IAM)
Architect and oversee
SSO, MFA, PAM, and federation (SAML, OIDC, OAuth2)
implementations. Lead the lifecycle management of identities, roles, and entitlements across cloud and on-prem environments. Apply
Zero Trust
principles for identity and access governance. 3. Network Security
Design and maintain
secure network architectures
(on-prem, hybrid, and cloud). Manage
firewalls, VPNs, IDS/IPS, NAC, SD-WAN security , and
microsegmentation
initiatives. Collaborate with network engineering teams to implement
Zero Trust Network Access (ZTNA) . Conduct network threat modeling and assist in security validation and penetration testing. 4. Security Operations (SOC)
Provide architectural direction for
SIEM, SOAR, EDR/XDR , and
threat intelligence
systems. Collaborate with SOC teams to improve detection, response, and automation. Define threat modeling, incident response frameworks, and SOC maturity improvement roadmaps. 5. Governance, Risk, and Compliance (GRC)
Establish a strong cybersecurity governance framework aligned with
ISO 27001, NIST CSF, CIS, GDPR, PCI-DSS , and other standards. Perform risk assessments, track remediation, and ensure security controls meet regulatory and policy requirements. Oversee security audits and compliance reporting in coordination with risk and legal teams. 6. AI Security
Design and implement
AI/ML system security architectures , focusing on
model integrity, data privacy, and secure AI pipelines . Define controls for
AI model governance , including versioning, explainability, and ethical AI usage. Collaborate with data science and AI engineering teams to integrate
threat modeling, adversarial testing , and
data protection
into AI systems. Evaluate and mitigate risks associated with
prompt injection, model poisoning, data leakage , and
unauthorized model access . Stay current with emerging
AI security standards, regulations (e.g., EU AI Act) , and best practices. 7. Leadership & Collaboration
Serve as a trusted advisor to senior leadership on cybersecurity, risk, and AI safety. Mentor engineers and analysts on architectural best practices and security design principles. Promote a culture of proactive security awareness and continuous improvement.
Qualifications Education & Experience
Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field. 10+ years
of experience in cybersecurity, with
3+ years
in an architectural or leadership capacity. Technical Skills
Deep knowledge of
IAM technologies
(Okta, Azure AD, SailPoint, CyberArk, Ping). Strong expertise in
network security
(firewalls, IDS/IPS, NAC, VPN, SD-WAN, microsegmentation). Experience designing SOC infrastructure (SIEM, SOAR, EDR/XDR). Understanding of
AI/ML systems , data protection, and secure model lifecycle management. Familiarity with
AI risk frameworks
(NIST AI RMF, ISO/IEC 23894, EU AI Act). Experience with
cloud security
(AWS, Azure, GCP) and
Zero Trust architectures . Strong understanding of
regulatory and compliance standards
(ISO 27001, NIST, GDPR, SOC 2). Certifications (Preferred)
CISSP, CCSP, or CISM. Certified Identity and Access Manager (CIAM) or equivalent IAM certification. Network Security certifications (CND, CCNP Security, Palo Alto PCNSE, Fortinet NSE). AI Security or AI Governance certifications (e.g.,
MIT AI Risk & Security ,
(ISC)2 AI+ ,
NIST AI RMF Training ). CRISC, CISA, or ISO 27001 Lead Implementer for GRC expertise.
Soft Skills
Strategic thinker with a forward-looking approach to emerging technologies and threats. Strong communication and leadership skills with the ability to influence across teams. Excellent analytical, problem-solving, and risk assessment capabilities. Ability to translate complex technical issues into clear business impacts.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.