Senior AI Security Engineer

Talenza; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Talenza is seeking a Senior AI Security Engineer to embed security into AI products and cloud platforms in Sydney. You will work with AI engineers, developers, and platform teams to secure AI applications, LLM-powered features, APIs, and workflows.

You will design security controls, perform threat modelling, and build guardrails across authentication, data flows, and tool usage. The role emphasizes secure SDLC practices, Kubernetes security, and vulnerability management.

Qualifications

• 5+ years in Security Engineering, Application Security, Cloud Security, or Platform Security.
• Experience securing AI applications, AI agents, LLMs, RAG systems, or similar AI platforms.
• Strong understanding of application security, API security, threat modelling, and secure software development.
• Knowledge of AI security risks including prompt injection, model abuse, insecure tool usage, and data leakage.
• Experience with Kubernetes, container security, CI/CD security, and software supply-chain security.
• Strong knowledge of OAuth, OIDC, RBAC, ABAC, secrets management, and identity security.
• Programming experience in Python, Go, or similar languages.

Responsibilities

• Design and implement security controls for AI applications, agents, and LLM-powered products.
• Perform threat modelling for AI systems, including prompt injection, data leakage, tool misuse, jailbreaks, and excessive agent permissions.
• Secure RAG platforms, enterprise knowledge systems, and AI data flows.
• Define controls for authentication, authorisation, tenant isolation, secrets management, and API security.
• Build reusable security guardrails, templates, policy-as-code controls, and developer tooling.
• Partner with engineering teams to embed security into CI/CD pipelines, Kubernetes environments, and release processes.
• Lead vulnerability management across AI applications, APIs, containers, model-serving platforms, and supporting infrastructure.

Skills

Security engineering

Threat modelling

Secure SDLC

API security

OAuth / OIDC / RBAC / ABAC

Python / Go

Tools

Kubernetes

CI/CD tooling

Secrets management tools

Job description

Senior AI Security Engineer

Secure the next generation of AI applications, agents, and platforms.

We're looking for a Senior AI Security Engineer to help build secure AI products at scale. You'll work alongside AI engineers, developers, and platform teams to embed security into AI applications, LLM-powered features, APIs, agentic workflows, and cloud platforms.

What You'll Do

• Design and implement security controls for AI applications, agents, and LLM-powered products.
• Perform threat modelling for AI systems, including prompt injection, data leakage, tool misuse, jailbreaks, and excessive agent permissions.
• Secure RAG platforms, enterprise knowledge systems, and AI data flows.
• Define controls for authentication, authorisation, tenant isolation, secrets management, and API security.
• Build reusable security guardrails, templates, policy-as-code controls, and developer tooling.
• Partner with engineering teams to embed security into CI/CD pipelines, Kubernetes environments, and release processes.
• Lead vulnerability management across AI applications, APIs, containers, model-serving platforms, and supporting infrastructure.

What We're Looking For

• 5+ years in Security Engineering, Application Security, Cloud Security, or Platform Security.
• Experience securing AI applications, AI agents, LLMs, RAG systems, or similar AI platforms.
• Strong understanding of application security, API security, threat modelling, and secure software development.
• Knowledge of AI security risks including prompt injection, model abuse, insecure tool usage, and data leakage.
• Experience with Kubernetes, container security, CI/CD security, and software supply-chain security.
• Strong knowledge of OAuth, OIDC, RBAC, ABAC, secrets management, and identity security.
• Programming experience in Python, Go, or similar languages.

Nice to Have

• Experience with enterprise AI platforms, vector databases, and model-serving environments.
• Knowledge of NIST, ISO 27001, SOC 2, or OWASP frameworks.
• Experience building security automation and developer enablement tooling.