AI Security Engineer

Posted 10 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Secure OLIX’s AI ecosystem by mapping AI tools, models, agents, and data flows; managing agent identities and permissions; mitigating prompt injection, data leakage, supply-chain, and unsafe-action risks; hardening AWS infrastructure; integrating security events with SIEM; assessing ISO 42001 readiness; and enabling rapid, safe adoption of AI tools. Requires strong security engineering experience, AI/ML security expertise, cloud and identity skills, and Python or TypeScript development.
Summary Generated by Built In

About OLIX

AI is growing faster than any technology in history, and the demand has created an infrastructure gap: we can no longer build chips or power stations fast enough to keep up. The industry still relies on a ten-year-old hardware blueprint that has reached its limit. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect delivers a step change in system-level performance.

The Role

We build infrastructure for frontier AI, and we use AI to build it. Every team at OLIX works with AI tools, coding harnesses, models and agents, and we intend to use them more. We are hiring an AI Security Engineer to make that adoption safe without slowing it down.

You will map our AI footprint, secure our agents and their identities, protect our compute infrastructure, and build the controls that stop our IP and data leaving through AI systems. You will give teams a fast path to adopt new tools and make AI security measurable. This is a hands-on, high-ownership role with the freedom to define AI security at OLIX from the ground up.

Responsibilities

  • Map the AI footprint: build and maintain the inventory of AI tools, models, agents and data flows across the company.

  • Secure agents: give every agent a managed identity, least-privilege access, logged actions and the right human approvals.

  • Build controls against AI threats: prompt injection, data leakage, model and package supply chain, unsafe agent actions and shadow AI.

  • Secure AI infrastructure: harden the cloud compute our teams use to build and run AI workloads.

  • Make AI security measurable: run our ISO 42001 self-assessment and feed AI security events into our SIEM.

  • Enable safe adoption: review new AI tools within days and publish the guardrails teams need.

Skills and experience

  • 5 or more years in security engineering, application security or cloud security, with at least 2 years securing AI or ML systems, LLM applications or agents.

  • Hands-on knowledge of LLM-specific threats and their mitigations.

  • Experience securing agentic systems: tool permissions, MCP servers, credentials and human approval steps.

  • AWS security experience and identity experience, ideally Okta.

  • Software engineering in Python or TypeScript.

  • Daily use of AI coding tools and agents in your own work.

  • Nice to have: experience with ISO 42001 or the NIST AI Risk Management Framework, or in a hardware or deep-tech company.

Compensation and equity

  • Competitive salary: commensurate with your experience, skills and location.

  • Equity and ownership: meaningful stock options.

  • Proximity bonus: an annual Living-Local Bonus if you live within 20 minutes of the office.

  • Retirement benefits: employer-contributed retirement plans.

Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

Skills Required

  • At least 5 years of experience in security engineering, application security, or cloud security.
  • At least 2 years securing AI or ML systems, LLM applications, or agents.
  • Hands-on knowledge of LLM-specific threats and mitigations.
  • Experience securing agentic systems, including tool permissions, MCP servers, credentials, and human approval steps.
  • AWS security experience.
  • Identity and access management experience.
  • Software engineering experience in Python or TypeScript.
  • Daily use of AI coding tools and agents.
  • Okta experience.
  • Experience with ISO 42001 or the NIST AI Risk Management Framework.
  • Experience in a hardware or deep-tech company.
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The Company
HQ: Durban
82 Employees
Year Founded: 2024

What We Do

The latest generation of AI models achieve breakthrough performance by using vastly more tokens to solve complex problems. As frontier models become more sophisticated, demand is compounding faster than today’s infrastructure can scale. Even the most dominant players, with full-stack control across silicon, software, and supply chains, are unable to solve this within the existing architecture. Inherent constraints in physical design and packaging mean a GPU-based approach is incapable of simultaneously delivering high throughput and high interactivity at low cost. Continuing AI’s advance and making it available to everyone requires a new compute paradigm. One that can overcome the fundamental limits of memory, energy, and speed that define today’s systems. If you like working on difficult and consequential problems, we want you at OLIX. We have offices in London, Austin, Toronto, San Francisco and Bristol. Check out our careers page at olix.com/careers

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