Lead the development and implementation of security controls and governance frameworks for artificial intelligence systems across the firm, ensuring AI initiatives are built, deployed, and monitored in accordance with sound security practices and regulatory requirements.
Compensation
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment.
Responsibilities
Design, implement, and maintain security controls for AI/ML systems across the model lifecycle
Conduct threat modeling for AI systems, identifying risks such as data poisoning, model inversion, adversarial inputs, prompt injection, and supply‑chain risks
Develop and maintain AI governance policies, standards, and control frameworks aligned with recognized industry standards
Track and interpret evolving AI‑related regulation and translate requirements into practical firm policy
Partner with technology, model risk management, legal, compliance, and business stakeholders to embed security and governance requirements into AI development and procurement processes
Requirements
Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field
Vice President responsible for developing and implementing security controls and governance frameworks for AI/ML systems across the firm.
Compensation
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment.
Responsibilities
Design, implement, and maintain security controls for AI/ML systems across the model lifecycle
Conduct threat modeling for AI systems, identifying risks such as data poisoning, model inversion, adversarial inputs, prompt injection, and supply-chain risks in third-party or open-source models
Develop and maintain AI governance policies, standards, and control frameworks aligned with recognized industry standards (e.g., NIST AI RMF, NIST CSF, ISO/IEC 42001, ISO/IEC 27001)
Track and interpret evolving AI-related regulation (e.g., the EU AI Act, relevant U.S. federal/state guidance, and financial-sector regulatory expectations) and translate requirements into practical firm policy and control requirements
Partner with technology, model risk management, legal, compliance, and business stakeholders to embed security and governance requirements into AI development and procurement processes
Requirements
Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field; advanced degree a plus
Senior-level security engineer focused on AI and agentic AI security, responsible for threat modeling, penetration testing, and building security agents to protect AppViewX products and corporate environment.
Responsibilities
Secure AI and agentic AI systems
Develop threat models for AI-enabled product changes
Implement least-privilege identities and tool-call controls
Build input/output guardrails and safety filters
Lead AI penetration testing and adversarial campaigns
Lead the development, implementation, and oversight of AI governance frameworks to ensure safety, ethics, security, and compliance of predictive and generative AI systems.
Compensation
The projected compensation range for this position is $120,000 to $150,000.
Responsibilities
Lead the development and implementation of AI governance frameworks aligned to federal policies, NIST AI Risk Management Framework, MLSecOps, agency-specific guidance, and emerging regulatory requirements.
Drive AI risk identification, assessment, and mitigation processes, ensuring that generative and predictive AI systems adhere to ethical, legal, and security standards.
Oversee the creation and maintenance of AI documentation artifacts such as model cards, data cards, lineage records, impact assessments, and system risk profiles.
Collaborate with engineering and product teams to embed privacy, fairness, transparency, and explainability considerations into the design and operation of AI systems.
Partner with AI Evaluation Scientists to establish governance-aligned quality thresholds, safety checks, and ongoing monitoring requirements for model outputs.
Requirements
Bachelor's degree
Master's degree
Nice to have: exposure to evaluation techniques
Nice to have: fairness assessments
Nice to have: transparency documentation
Skills
C
Senior Cloud Solutions Architect – AI & Integration
Crossfire Consulting Corporation · Posted Nov 10, 2026
Lead complex technical risk assessments, drive remediation, and represent the risk program to senior leadership and audit forums.
Responsibilities
Independently lead complex, ambiguous, or cross-functional technical risk assessments with minimal oversight
Serve as a trusted advisor to senior technical leaders and executives on risk posture, prioritization, and tradeoffs
Develop and deliver executive-level risk reporting, metrics, and trend analysis
Own escalation and negotiation on high-risk exception requests and complex remediation disputes
Monitor the risk portfolio at program level, identify systemic gaps or patterns across the register, and drive process, tooling, or automation improvements
Lead AI security and risk management for PJT Partners’ technology operations, overseeing governance, vendor risk, regulatory compliance, and internal AI program oversight.
Compensation
Expected annualized base salary of $150,000 - $175,000
Responsibilities
Own and maintain the firm’s AI risk framework
Develop and enforce AI usage policies
Maintain an inventory of AI tools and assess risk profiles
Provide regular AI risk reporting to senior leadership
Monitor evolving regulatory environment for AI
Requirements
Bachelor's degree in Computer Science, Information Security, Data Science, or a related field; advanced degree a plus
Responsible for drafting and maintaining IAM policies, standards, and governance for AI and non-human identities, advising stakeholders, analyzing compliance patterns, and supporting audit and risk review processes.
Locations (2)
Dallas, Texas, United States
Fort Worth, Texas, United States
Responsibilities
Draft and maintain IAM policy and standards
Define requirements for AI agent identities by risk tier
Support annual review and significant changes processes
Advise application, platform, and AI system owners on identity and access risks
Recommend controls such as scoped RBAC, PAM, separation of duties, vaulted credentials, and short-lived access
Requirements
Undergraduate degree in a related field or equivalent combination of training and experience
Nice to have: AI agent identity concepts
Nice to have: NIST CSF
Nice to have: NIST SP 800-63
Nice to have: NIST AI RMF
Nice to have: prior experience in financial services or another regulated industry
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