Senior AI Security Architect — Hybrid Enterprise Leader

SMBC Group; Charlotte (NC); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid workforce model

Accommodations for disabilities

Job summary

SMBC Group in Charlotte, NC, seeks a Senior AI Security Architect to lead the design and governance of the enterprise AI security program. You will define security strategy, architecture standards, governance models, and controls to enable safe AI, Generative AI, ML, and Agentic AI across the enterprise.

You will partner with engineering, cloud, data, legal, compliance, and cyber defense teams to embed security throughout the AI lifecycle, support regulatory expectations, and drive secure

Qualifications

• 12+ years of experience in cybersecurity, security architecture, secure engineering, technology risk management, or related disciplines.
• 7+ years leading enterprise security architecture initiatives, architecture teams, or strategic cybersecurity programs.
• Strong knowledge of enterprise security architecture, networking, operating systems, web applications, APIs, software development, automation, cloud security, and modern cybersecurity practices.
• Experience performing architecture reviews, threat modeling, risk analysis, security assessments, and control design across complex enterprise environments.
• Deep understanding of cyber threats, attack techniques, security monitoring, incident response, penetration testing, red teaming, and security control validation.
• Experience designing and securing cloud environments, including AWS, Microsoft Azure, and Google Cloud Platform.
• Strong knowledge of identity and access management, including Active Directory, Azure AD, identity governance, MFA, certificate management, and privileged access controls.
• Deep understanding of AI, ML, LLMs, Generative AI, RAG, model operations, and Agentic AI architectures.
• Experience securing AI-enabled applications, APIs, model integrations, cloud-native services, AI platforms, and third-party AI capabilities.
• Knowledge of AI-specific security risks and controls, including prompt security, model integrity, adversarial ML, AI governance, model monitoring, and runtime security controls.
• Experience supporting audits, regulatory assessments, governance reviews, and risk management activities within highly regulated industries.
• Experience aligning AI and cybersecurity controls with frameworks such as NIST, ISO, OWASP, SOX, SWIFT, AI risk management frameworks, model risk management standards, and applicable regulatory requirements.
• Strong executive communication and stakeholder management skills with the ability to explain complex technical concepts and risks to senior management and business leaders.

Responsibilities

• Define enterprise AI security architecture strategy, standards, reference architectures, and guardrails for AI, Generative AI, ML, and Agentic AI solutions.
• Lead secure-by-design architecture patterns across data ingestion, model development, model training, deployment, inference, RAG, agent orchestration, and ongoing operations.
• Conduct and oversee AI security architecture reviews, threat models, and risk assessments for enterprise AI platforms, business applications, cloud AI services, third-party AI providers, and open-source AI technologies.
• Identify and mitigate AI-specific threats, including prompt injection, jailbreaking, model poisoning, adversarial attacks, model inversion, unauthorized model access, excessive agent autonomy, sensitive data exposure, and AI supply chain risks.
• Establish and strengthen security controls for AI platforms, cloud environments, IAM, PAM, secrets management, data protection, monitoring, logging, model lifecycle security, and runtime enforcement capabilities.
• Develop enterprise reference architectures and governance requirements for foundation models, third-party AI services, AI-enabled business solutions, autonomous agents, and emerging AI technologies.
• Partner with architecture, engineering, cloud, data, privacy, legal, compliance, model risk, and cyber defense teams to integrate AI security requirements into solution design, development, testing, deployment, monitoring, and operational processes.
• Serve as the senior AI security architect and trusted advisor to executive leadership, governance committees, and technology stakeholders on AI security risks, control requirements, regulatory expectations, and architectural decisions.
• Define architecture requirements for Agentic AI solutions, including authorization boundaries, tool access controls, human oversight requirements, audit logging, runtime monitoring, and containment mechanisms.
• Lead AI threat modeling, security assessments, red teaming activities, control validation exercises, and security reviews for high-risk AI implementations.
• Evaluate emerging AI technologies and security capabilities and provide strategic recommendations regarding enterprise adoption, risk management, and security architecture direction.
• Support regulatory examinations, audits, risk assessments, and governance reviews by defining security controls, architecture standards, and evidence requirements for AI-enabled solutions.

Skills

AI security architecture

Cloud security

Threat modeling

Security governance

Executive communication

Identity and access management

Architecture reviews

Regulatory compliance

Red team / security testing

Education

Bachelor’s degree in Information Security, Cybersecurity, Computer Science, Engineering, AI, or related field

Tools

AWS

Azure

GCP

Job description

SMBC Group in Charlotte, NC, seeks a Senior AI Security Architect to lead the design and governance of the enterprise AI security program. You will define security strategy, architecture standards, governance models, and controls to enable safe AI, Generative AI, ML, and Agentic AI across the enterprise.

You will partner with engineering, cloud, data, legal, compliance, and cyber defense teams to embed security throughout the AI lifecycle, support regulatory expectations, and drive secure