How to apply for AI Solutions Architect- Post-Sales (UK)

About HiddenLayer

HiddenLayer builds security tools for machine learning models and AI systems. The company was founded by AI and security specialists and has won awards including RSA's Innovation Sandbox and CB Insights AI 100. Working here means helping organizations adopt AI without exposing themselves to adversarial attacks.

About the role

This is a post-sales role. You join the customer success team after a deal closes and help customers deploy, integrate, and get ongoing value from HiddenLayer's AI security products. You work directly with customer environments, translate their feedback into product improvements, and act as a trusted technical advisor.

A typical day

You might start with a customer call to review a deployment issue, then work with their engineering team to adjust container or network configuration. Later you could document feedback for the product team and check in on another account's adoption metrics. The exact routine is not described in the job posting, so ask about team structure and daily workflows during interviews.

Who HiddenLayer is looking for

• Has hands-on experience with cloud platforms, containerization (Docker, Kubernetes), and networking concepts.
• Can explain technical trade-offs to both engineers and non-technical stakeholders.
• Has worked in a post-sales, customer success, or solutions architecture role where deployment and adoption were your responsibility.
• Understands or is willing to learn AI/ML security concepts such as threat modeling, model scanning, and adversarial attacks.

Tips for this application

• Show concrete examples of post-sales deployments you have led, including the customer's environment, the integration steps, and the outcome.
• Name specific cloud and container tools you have used (for example AWS, GCP, Azure, Docker, Kubernetes) rather than saying 'cloud experience'.
• Reference HiddenLayer's products or public materials (RSA Innovation Sandbox, model scanning, red team assessments) to show you understand what you would be supporting.
• Explain how you have turned customer feedback into product or process changes, since the job description calls this out explicitly.
• State clearly that you are based in the UK and can work remotely, because the role is Remote-UK.

What to cover in your cover letter

Focus on your post-sales deployment experience and the specific tools you have used. Explain how you have integrated security or ML tooling into customer workflows. Describe a time you translated customer feedback into an actionable improvement. Mention why AI security specifically interests you and what you know about HiddenLayer's approach.

Research before applying

• Read HiddenLayer's product pages on model scanning, threat modeling, and red team assessments.
• Look up the RSA Innovation Sandbox and what HiddenLayer presented there.
• Research common adversarial AI attack types (for example evasion, poisoning, model theft) so you can speak to the problem space.
• Check HiddenLayer's recent public announcements or blog posts to understand current priorities and customer stories.

Likely interview topics

Based on the job description, expect questions about:

• Walk through a post-sales deployment you owned end to end. What broke and how did you fix it?
• How would you integrate an AI security scanning tool into a customer's existing CI/CD pipeline?
• What is your experience with containerization and networking in customer environments?
• How do you handle a customer who has bought the product but is not adopting it?
• What do you know about adversarial AI attacks and how HiddenLayer's products address them?

Common mistakes to avoid

• Treating this as a pre-sales or sales engineering role. The job is explicitly post-sales: deployment, adoption, and ongoing value.
• Listing AI/ML security as a buzzword without showing any understanding of what adversarial attacks are or how model scanning works.
• Ignoring the remote-UK requirement or implying you would need relocation or visa sponsorship.