Product Engineer at well-funded enterprise AI startup

Jack & Jill/External ATS; Greater London; Hybrid; GBP 74,000 - 97,000; Full time

Job summary

A cutting-edge AI technology startup is looking for a Data Security Engineer to secure advanced AI pipelines and automate security protocols. The role involves building defense mechanisms against emerging threats and ensuring data integrity in cloud environments. Ideal candidates will have proven experience in data security, AI security, and a focus on automation tools. Join a rapid-growth firm to shape the security landscape in the AI sector.

Qualifications

• Proven experience in data security and infrastructure protection.
• Hands-on expertise in AI security and pipeline automation.
• Strong proficiency in automation tools and scripting languages.

Responsibilities

• Design and implement automated security pipelines.
• Conduct security audits and vulnerability assessments.
• Collaborate with engineering teams for security integration.

Skills

Data security

Infrastructure protection

Cloud-native environments

AI security

Automation tools

Scripting languages

Job description

Data Security Engineer

Location: New Delhi, India

Company Description

High-growth AI technology startup

Job Description

As a Data Security Engineer, you will lead the charge in securing cutting‑edge AI pipelines and automating security protocols. You will be responsible for building robust defense mechanisms against evolving threats, ensuring data integrity, and implementing scalable automation. This role is pivotal for a company at the forefront of the AI revolution.

Why this role is remarkable

• Work at the intersection of cybersecurity and generative AI, tackling some of the most complex security challenges in the industry today.
• Join a well‑funded startup backed by top‑tier VCs that is rapidly scaling its technical operations and market presence.
• Influence the security roadmap from the ground up with significant autonomy and the opportunity to lead major infrastructure projects.

What you will do

• Design and implement automated security pipelines to protect sensitive data and AI model integrity across the development lifecycle.
• Conduct deep‑dive security audits and vulnerability assessments specifically tailored for AI/ML workloads and cloud environments.
• Collaborate with engineering teams to integrate security‑as‑code principles and proactive monitoring into the core product architecture.

Ideal candidate

• Proven experience in data security and infrastructure protection with a strong focus on cloud‑native environments.
• Hands‑on expertise in AI security, including securing LLM inputs, data poisoning prevention, and pipeline automation.
• Strong proficiency in automation tools and scripting languages to streamline security operations and incident response protocols.