Managers must be experienced in securing Artificial Intelligence (AI) and Machine Learning (ML) systems, including but not limited to agentic AI architectures, model security, prompt and data protections, threat modeling for emerging AI risks, and resilient AI deployments.
Managers lead diverse teams of consultants with varying skills to meet and exceed client expectations through scoped engagements.
This role will lead multiple client engagements (including AI security assessments and secure AI architecture designs) or support larger-sized client engagements.
Managers contribute to client delivery by executing the necessary technical or process-focused tasks, producing high-quality security and architectural artifacts, and presenting findings and recommendations throughout an engagement.
Managers are the primary leaders of security delivery teams responsible for assessments, designs, and operational documentation for AI systems.
Senior Consultant
Managers also support business development activities alongside a sales specialist to help qualify client needs and expectations, particularly where AI security architecture must be evaluated.
Requirements
Undergraduate technical degree in Engineering, Computer Science, IT Management, Cybersecurity, or related field preferred, but not required.
Minimum of 7 years professional, relevant experience, with at least 2 years in people / project management.
2 – 3 professional and/or technical certifications, including industry-recognized certifications which align to AI security, cloud security, or application security (e.g., CISSP, CCSP, OSCP, or AI-specific equivalents).
Demonstrated experience consulting on secure architecture and/or solution design within complex enterprise environments, preferably including AI/ML systems.
Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++), with a track record of shipping secure services.
Deep expertise in modern isolation techniques (e.g., container security, kernel hardening, sandboxing) and cloud security on major providers (Azure, AWS, GCP).
Familiarity with AI/ML security challenges and mitigations (e.g., prompt injection, model inversion, adversarial robustness).
Experience in performing and advising on application security.
Excellent verbal and written communication skills (must be highly proficient in Microsoft Office Suite).
Comfortable addressing groups of people in virtual or in-person settings.
Ability to solve complex, abstract problems.
Excellent interpersonal skills, good listener, ability to connect with different personalities.