AI Security Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Location: Toronto, Ontario
Full time
Hybrid up to 3x days / week
Must qualify for CGP or ITAR / EAR
Our client is a global design and manufacturing company with 40+ sites in 13 countries, serving aerospace and defense, healthtech, communications and hyperscale cloud customers. They don't just use AI, they build programs around next-generation AI technology, and their security architecture team is adding a dedicated AI security specialist.
In this role, you'll design how AI agents and LLMs are secured across enterprise finance, ERP and aerospace and defense environments: non-human identities that can reach one data source but not the next, guardrails that prevent accidental disclosure, and secure build pipelines for agents. You'll also govern enterprise subscriptions with Anthropic, OpenAI and Google, set AI usage policy, and lead POCs on new AI security tooling.
This suits someone who has built and deployed AI agents, not just reviewed them. If you know how to build it, you know how to break it, and that is how you'll secure it. You'll join a team of cloud and application security architects and report to the Director of Security Architecture.
Full time
Hybrid up to 3x days / week
Must qualify for CGP or ITAR / EAR
Our client is a global design and manufacturing company with 40+ sites in 13 countries, serving aerospace and defense, healthtech, communications and hyperscale cloud customers. They don't just use AI, they build programs around next-generation AI technology, and their security architecture team is adding a dedicated AI security specialist.
In this role, you'll design how AI agents and LLMs are secured across enterprise finance, ERP and aerospace and defense environments: non-human identities that can reach one data source but not the next, guardrails that prevent accidental disclosure, and secure build pipelines for agents. You'll also govern enterprise subscriptions with Anthropic, OpenAI and Google, set AI usage policy, and lead POCs on new AI security tooling.
This suits someone who has built and deployed AI agents, not just reviewed them. If you know how to build it, you know how to break it, and that is how you'll secure it. You'll join a team of cloud and application security architects and report to the Director of Security Architecture.
More about this job
Responsibilities
Design and implement security for AI agents and large language models across enterprise finance, ERP, and aerospace and defense environments, including identity controls, disclosure-prevention guardrails, and secure agent build pipelines. Govern enterprise AI subscriptions, establish AI usage policies, and lead proofs of concept for AI security tools.
Requirements
The role calls for experience building and deploying AI agents, along with the ability to assess how they can be compromised and secure them accordingly. Candidates must qualify for the Controlled Goods Program (CGP) or ITAR/EAR requirements.
Skills
- AI Security
- AI Agent Development
- Large Language Models
- Cloud Security
- Application Security
- Security Architecture
- Non-Human Identity Management
- Data Access Controls
- AI Guardrails
- Secure Build Pipelines
- AI Governance
- AI Usage Policy
- Security Tool Evaluation
- Proofs of Concept
Visa sponsorship
Not detected in the job text
Categories
- Security & Safety
- Technology
- Software
- Engineering
- Manufacturing
Keywords
- AI Security
- AI Agents
- Large Language Models
- Enterprise Finance
- ERP
- Aerospace and Defense
- Non-Human Identities
- Data Access Controls
- Disclosure Prevention
- AI Guardrails
- Secure Build Pipelines
- Anthropic
- OpenAI
- AI Governance
- AI Usage Policy
- AI Security Tooling
- Cloud Security
- Application Security
- Security Architecture
- Controlled Goods Program
- ITAR
- EAR
- Proofs of Concept