Application Guide

How to Apply for Staff/Principal Security Engineer, Trust & Risk

at AI Security Institute (AISI)

🏢 About AI Security Institute (AISI)

The AI Security Institute (AISI) is a specialized organization focused on securing artificial intelligence systems, making it unique as it operates at the intersection of cutting-edge AI development and critical security frameworks. Working at AISI offers the opportunity to shape emerging AI safety standards and directly impact how organizations implement trustworthy AI systems in regulated environments.

About This Role

This Staff/Principal Security Engineer role focuses on building automated systems to validate security controls and collect compliance evidence across cloud infrastructure, CI/CD pipelines, and ML workflows. You'll translate complex regulatory requirements into programmatic controls and integrate AI safety artifacts into compliance processes, making AI systems more trustworthy and auditable.

💡 A Day in the Life

A typical day involves designing and implementing automated evidence collection pipelines for AWS infrastructure, reviewing and translating regulatory requirements into technical controls, collaborating with ML engineers to integrate safety artifacts into model deployment workflows, and optimizing compliance processes through automation to reduce manual overhead while maintaining audit readiness.

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Interview Prep

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🎯 Who AI Security Institute (AISI) Is Looking For

  • Has 7+ years of staff-level engineering experience with demonstrable impact in platform, infrastructure, or security domains
  • Can write production-quality Python or Go code to automate evidence collection and control validation pipelines
  • Has hands-on experience implementing compliance controls in regulated environments (financial services, healthcare, or government sectors preferred)
  • Understands how to translate frameworks like NIST AI RMF, EU AI Act, or ISO 42001 into technical implementations

📝 Tips for Applying to AI Security Institute (AISI)

1

Highlight specific examples where you've automated compliance evidence collection in AWS environments

2

Demonstrate how you've translated regulatory requirements into technical controls in previous roles

3

Showcase projects where you integrated security controls into ML workflows or model lifecycle management

4

Quantify the impact of your automation work (e.g., 'reduced manual evidence collection by 80%')

5

Explain your experience with both traditional infrastructure security and emerging AI/ML security considerations

✉️ What to Emphasize in Your Cover Letter

['Your experience building continuous control validation systems in regulated environments', 'Specific examples of translating regulatory frameworks into programmatic implementations', "How you've integrated security into ML workflows or managed model artifacts securely", 'Your approach to balancing compliance requirements with engineering efficiency']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → AISI's publications or position papers on AI safety frameworks and standards
  • → UK-specific AI regulations and compliance requirements affecting security engineering
  • → Recent industry developments in AI security and trustworthy AI implementation
  • → How AISI collaborates with regulatory bodies and industry partners

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk us through how you would design a continuous control validation pipeline for AWS infrastructure
2 How would you translate a specific AI regulation requirement into machine-checkable artifacts?
3 Describe your experience implementing security controls in CI/CD pipelines for ML models
4 How do you approach evidence collection automation across hybrid cloud environments?
5 What metrics would you track to demonstrate the effectiveness of trust and risk controls?
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⚠️ Common Mistakes to Avoid

  • Focusing only on traditional security without addressing AI/ML-specific risks and controls
  • Being unable to articulate how regulatory requirements translate to technical implementations
  • Lacking specific examples of automation work in regulated or compliance-heavy environments

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to AI Security Institute (AISI)!

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