Application Guide
How to Apply for Forward Deployed Engineer – Enterprise Delivery
at Gray Swan
🏢 About Gray Swan
Gray Swan is an AI security company focused on a critical niche: automatically assessing risks of AI models. Unlike general AI companies, they specialize in safety evaluations, making them unique in addressing the growing concerns around AI deployment. Working here means contributing directly to shaping how enterprises can safely adopt cutting-edge AI technologies.
About This Role
As a Forward Deployed Engineer – Enterprise Delivery, you'll be stress-testing agentic AI in lab environments while simultaneously helping enterprises deploy these systems at scale. This role bridges technical evaluation with real-world implementation, ensuring AI solutions are both innovative and safe. You'll have direct impact on how organizations trust and integrate AI into their operations.
💡 A Day in the Life
A typical day might involve morning sessions stress-testing agentic AI models in controlled lab environments, identifying potential failure modes and safety risks. Afternoons could be spent collaborating with enterprise clients to translate those findings into deployment strategies, troubleshooting real-world implementation challenges. You'd regularly shift between deep technical analysis and client-facing problem-solving, ensuring AI systems are both cutting-edge and trustworthy.
🚀 Application Tools
🎯 Who Gray Swan Is Looking For
- Has hands-on experience with AI safety evaluations, particularly around agentic AI systems and their deployment challenges
- Thrives on solving complex, ambiguous problems where there may not be established best practices yet
- Can articulate how they've taken real responsibility for meaningful AI projects, not just followed instructions
- Demonstrates ability to translate theoretical AI safety concerns into practical enterprise solutions
📝 Tips for Applying to Gray Swan
Highlight specific examples of AI safety evaluations you've conducted, including what metrics you used and what risks you identified
Describe a time you worked on a 'hard problem' in AI deployment before it was widely recognized, showing your forward-thinking approach
Mention any experience with agentic AI systems specifically, as this is called out in the job description
Explain how you've helped shape AI deployment practices in previous roles, not just executed existing protocols
Quantify your impact on enterprise AI projects - how you accelerated deployment or improved safety outcomes
✉️ What to Emphasize in Your Cover Letter
['Your direct experience with AI safety evaluations and what you learned about risk assessment methodologies', 'Examples of taking responsibility for meaningful AI problems and driving solutions independently', "How you've previously helped organizations deploy AI safely and what challenges you overcame", "Your perspective on the unique challenges of agentic AI deployment and why Gray Swan's focus resonates with you"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Gray Swan's specific AI risk assessment tools and methodologies - understand their technical approach
- → Recent AI safety incidents or concerns in the news and how Gray Swan's work addresses these
- → The company's client case studies or whitepapers to understand their enterprise delivery process
- → Founder backgrounds and their vision for AI safety to align your application with their mission
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing only on AI development experience without emphasizing safety or evaluation aspects
- Using generic AI terminology without demonstrating understanding of agentic AI specifically
- Presenting yourself as just an implementer rather than someone who uncovers and solves hard problems proactively
📅 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:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!