Senior Associate, AI Security & Compliance
@ Alvarez & Marsal

Los Angeles, CA
$95,000
On Site
Full Time
Posted 23 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXX XXXXXXXX***** @alvarezandmarsal.com
Recommended after applying

Job Details

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 professionals in more than 40 countries. The firm values independent thinkers who deliver results and shape the industry.

How You Will Contribute

As a Senior Associate, AI Security & Compliance at Alvarez & Marsal, you will address the growing demands for AI-focused security analysis and regulatory compliance. You will help organizations mitigate risks associated with AI system deployment, algorithmic bias, and data privacy by integrating traditional cybersecurity with AI-specific practices.

  • Lead technical teams in AI security assessments and model audits.
  • Develop AI risk assessment methodologies and continuous monitoring solutions for production ML systems.
  • Design secure AI/ML architectures with focus on MLOps security practices.
  • Conduct technical assessments using various AI security and MLOps tools.
  • Create technical documentation including threat models and compliance roadmaps.

Responsibilities

You will be responsible for:

  • Executing AI security assessments related to AI Act (EU), NIST AI RMF, ISO/IEC standards and additional emerging frameworks.
  • Implementing security controls for AI frameworks and Large Language Models.
  • Integrating AI security with traditional security frameworks including Zero Trust, IAM, and SIEM platforms.
  • Developing AI compliance solutions aligned with global regulatory frameworks and industry standards.
  • Traveling up to 15% to meet client site needs.

Who Will You Be Working With?

You will join a diverse team in A&M's Disputes and Investigations practice. The team values shared expertise, entrepreneurial thinking, and a high-quality standard of work.

Growth and Support

This role provides an opportunity to work on high-profile AI security projects, gain expertise in emerging regulations, and expand your technical leadership skills. You will benefit from ongoing professional development, training programs, and a performance-based reward structure.

Qualifications

Key requirements include:

  • 3+ years in AI/ML development, deployment, or security assessment.
  • 2+ years in information security focusing on application or cloud security.
  • Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Proficiency in Python and familiar with AI/ML libraries and security testing tools.
  • Experience with cloud-based AI platforms and MLOps tools.
  • Knowledge of AI compliance frameworks and traditional cybersecurity standards.
  • Ability to obtain a USG security clearance.

Preferred Certifications

Certifications in AI/ML and security, such as AWS Certified ML, CISSP, or GIAC AI Security Essentials, are advantageous.

Inclusive Diversity & Equal Opportunity

A&M champions equal opportunity, inclusive diversity and places strong emphasis on professional development and a respectful, supportive work environment.

Compensation & Benefits

The salary range is $80,000 to $110,000 annually with potential bonus opportunities. Comprehensive benefits include healthcare, 401(k) with discretionary contributions, paid time off, and more.

Key skills/competency

  • AI Security
  • Compliance
  • MLOps
  • Risk Assessment
  • Cloud Security
  • Model Auditing
  • Penetration Testing
  • Regulatory Frameworks
  • Technical Documentation
  • Team Leadership

How to Get Hired at Alvarez & Marsal

🎯 Tips for Getting Hired

  • Research Alvarez & Marsal's culture: Study their mission and core values online.
  • Customize your resume: Highlight AI security and compliance experience.
  • Prepare technical examples: Demonstrate AI/ML frameworks proficiency.
  • Practice interview insights: Review behavioral and technical questions.
  • Network strategically: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review AI security frameworks.
Practice Python coding challenges.
Test cloud AI platform tools.
Study MLOps security practices.

Behavioral Questions

Describe technical leadership experiences.
Explain handling project challenges.
Discuss teamwork under pressure.
Share examples of continuous learning.

Frequently Asked Questions