Senior AI Risk & Advisory Manager

Job Description

McDermott Will & Schulte is embedding Artificial Intelligence across core workflows, vendor platforms, and client-facing services. As adoption accelerates—including agentic AI systems that can independently access and act on data—the Firm needs dedicated expertise to ensure leadership has clear visibility into how these technologies function and what implications they carry.

Why MWS

Shape the Firm's AI strategy at the intersection of technology and risk
Dual reporting to CIO and General Counsel—uniquely positioned for impact
Security and innovation treated as mutually reinforcing priorities
Define a new function at the frontier of enterprise AI governance

What You'll Do

• Serve as subject matter expert on AI technologies, including large language models and emerging AI systems
• Advise leadership on technical implications of AI initiatives and translate AI architecture into business and legal risk considerations
• Evaluate proposed AI use cases and tools across the Firm
• Identify and assess risks related to data privacy, intellectual property, bias and fairness, hallucination and reliability, and security vulnerabilities
• Recommend controls, guardrails, and oversight mechanisms—with particular attention to agentic AI systems that may access data subject to regulatory or ethical requirements
• Assess and advise on AI-driven threats, including AI-enhanced social engineering and automated attack techniques
• Identify opportunities to leverage AI to improve threat detection, incident response, and defensive operations

Technologies

• LLMs
• Generative AI
• Agentic Systems
• NIST AI RMF
• ISO 42001
• EU AI Act
• AI Security
• Privacy Frameworks
• Threat Detection
• Security Operations

What You Bring

• 10+ years of experience in technology, security, risk, or related fields
• Deep understanding of AI/ML systems, particularly LLMs and generative AI
• Ability to explain complex technical systems to non-technical executives
• Strong judgment and risk assessment capability
• Experience working cross-functionally with IT and Legal
• Familiarity with AI security, privacy, and regulatory considerations
• PREFERRED BACKGROUND IN ML engineering, data science, cybersecurity, or AI architecture
• Familiarity with AI-driven cyber threats and the application of AI/ML to security operations
• Familiarity with AI governance frameworks and regulatory compliance

What You Get

• Outstanding career opportunities
• Competitive total rewards package with the opportunity to earn performance-based bonuses
• Discretionary bonus for full-time positions
• A comprehensive benefits package

Physical Demands And Work Environment

• Sit, use hands, reach with hands and arms, stoop, talk and hear
• Occasionally lift up to twenty (20) pounds
• Typical indoor office environment