AI Security Engineer Senior Manager

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale.

You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience.

You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle.

You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse).

Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists.

Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions.

Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly.

Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills


* Ability to work independently and collaborate as part of a team


* Effective written and verbal communication skills


* Meticulous attention to detail and quality of work product


* Ability to build and sustain professional relationships


* Ability to lead projects or workstreams


* Ability to manage and prioritize multiple tasks in a ...