Principal Cybersecurity Architect

KEY RESPONSIBILITIES

Manage vendor teams and drive discussions with various project teams developers and operations teams to ensure compliance with security guidelines and standards.

Experience with cyber security implementations within a major Cloud operating environment

Experience developing and budgeting for cyber defense strategies that include dependencies on defense in depth principles.

Planning studying and then designinga resistantsecurity architecture for various IT initiatives.

Researching and implementing updated security standards systems and best practices.

Anticipating potential security threats by intaking strategic threat intelligence and acting upon ittimely.

Managingtechnologyroad maps and security improvement/maturity projects.

Document and address organizations information security cybersecurity architecture and systems security engineering requirements throughout the acquisition life cycle.

Ensure thatacquiredor developed system(s) and architecture(s) are consistent with organizations cybersecurity architecture guidelines.

Identify and prioritize critical business functions in collaboration with organizational stakeholders.

Define and document how the implementation of a new system or new interfaces between systemsimpactsthe security posture of the current environment.

Evaluate securityarchitecturesand designs todeterminethe adequacy of security design and architecture proposed or provided in response to requirements contained in acquisition documents.

Determine the protection needs (i.e. security controls) for the information system(s) and network(s) and document appropriately.

Experience in multi cloud security architecture. Primary focusinAzure.

Drive security controls with information security standards such as: NIST 800-53 NIST CSF NIST AI Risk Management Framework (AI RMF) ISO/IEC 42001 OWASP Top 10 for LLMs SOX SOC2 and CIS Controls.

Understanding of Identity and Secrets Management Logging and Monitoring Application Security Vulnerability Management AI/ML Security (model risk prompt injection defenses training-data protection and responsible AI controls) and Threat Detection and Response.

Lead the security architecture for AI and machine learning platforms generative AI services and large language model (LLM)based applications including controls for model integrity prompt injection training-data protection model supply chain risk and unauthorized model or API access.

Establish and govern enterprise standards for the secure adoption of AI including third-party AI services copilots and embedded AI capabilities within SaaS platforms; partner with Legal Privacy and Compliance to operationalize Responsible AI and acceptable-use policies.

Partner with Data Analytics and AI Engineering teams to embed security-by-design and privacy-by-design into AI/ML pipelines training datasets model development deployment and ongoing monitoring for drift abuse and emerging threats.

Evaluate and integrate AI-augmented security tooling (e.g. AI-driven detection and response vulnerability management identity analytics and SOC automation) into the enterprise security architecture while managing risks such as model bias hallucination and explainability.

Anticipate AI-specific threats (e.g. adversarial machine learning model theft data poisoning prompt injection deepfakes) and translate emerging AI regulations and standards into actionable security architecture and engineering requirements.

EDUCATION AND EXPERIENCE

Bachelors Degree

6 years of cyber security architecture and engineering leadership experience

Previous leadership experience in medium sized to large teams

Knowledge of cybersecurity governance design and operations

Hands-on experience securing AI/ML systems generative AI platforms or LLM-based applications with familiarity in AI security frameworks (e.g. NIST AI RMF ISO/IEC 42001 OWASP Top 10 for LLMs MITRE ATLAS).

Awareness of evolving AI regulation and guidance (e.g. EU AI Act U.S. federal AI executive actions state-level AI laws) and the ability to translate them into enterprise security requirements.

FUNCTIONAL SKILLS

Strong ability to communicate via written and verbal communication in both formal and casual situations.

Ability to effectively communicate technical information and translate it between stakeholders.

Working knowledge of AI and machine learning concepts with the ability to communicate AI risk security trade-offs and Responsible AI principles to both technical and business stakeholders.

Comfort using AI-assisted tools to accelerate architecture engineering and security operations work with sound judgment for verifying outputs and managing model limitations.

Experience managing teams and vendors driving SLAs;Experience withmanaging security with SaaS providers.

Self-starter who takes ownership and responsibility for prudent service delivery

Works independently with minimal guidance to drive projects to completion while also working collaboratively with the team to achieve strategic goals.

Professional clear and concise verbal and written communication to internal customers subject matter experts upper management and other audiences

A collaborative team player who willsolicitand offer input and support decision-making.

Position requires access to sensitive confidential material; Integrity and discretion are mandatory.

Comfortable working in a continuously changing fast-paced environment - balancing multiple priorities special projects and other activities.