Senior Consultant - AI Security Manager

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.   At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.    We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.    We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 
AI Security Senior Consultant - 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. Senior Consultant - 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. This role may be assigned a Project Coordinator role to ensure delivery engagements adhere to the associated timeline, support project reporting requirements, and maintain alignment to the intended objectives. Senior Consultant - Managers are the primary leaders of security delivery teams responsible for assessments, designs, and operational documentation for AI systems.  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. They may be directly engaged in client-facing interactions to assess current-state AI environments, articulate future-state secure AI architectures, produce and/or present sales proposals, or support client-visioning workshops.  Lastly, Senior Consultant - Managers use their visibility and experience to contribute to the continuous improvement and maturation of in-practice service offerings and capabilities. This includes influencing AI security standards, design patterns, and approaches, as well as positively impacting the service portfolio and individuals on the team through thought leadership and mentorship. 

AI Security Specifics

• Lead AI security assessments of clients including requesting and analyzing evidence of AI program maturity, model governance, data handling practices, deployment configurations, runtime environments, and access controls for AI systems. 
• Write consistent, detailed observations and practical recommendations based on risk to AI programs, including threats like prompt injection, data poisoning, model extraction, or adversarial attacks. 
• Draft detailed secure architecture designs including key AI security controls (e.g., sandboxing, runtime policy enforcement, isolation techniques, secure MLOps pipelines). 
• Proactively advise clients on secure AI deployment principles including but not limited to network segmentation, least privilege access for agents/models, defense-in-depth, and isolation from production environments. 

Client Delivery

• Facilitate strategy, roadmap, design, and planning workshops for small to medium-sized engagements, anchoring discussions in AI security principles, patterns, and measurable outcomes. 
• Ensure customer expectations are appropriately set and managed. 
• Drive and manage objectives, requirements gathering, project tasks and milestones, project status, dependencies, and timelines to ensure successful, on-time delivery aligned to business objectives. 
• Lead or contribute to solution architecture and design discussions, including the development of secure, isolated, and resilient AI architectures that support clients' innovation, safety, and responsible AI objectives. 
• Consult on solution designs that employ strong security controls, constrained trust boundaries, restricted access models, and operational separation for AI workloads. 
• Create and finalize project deliverables, to include peer review for collateral developed by others on a delivery team. 
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