AI Security Engineer at SentraAI – Dubai | Jobyssey

As an AI Security Engineer at SentraAI you will operate at the intersection of AI architecture application security and offensive security helping enterprise organisations design deploy and operate AI systems that are secure by design and defensible in production.

You will work closely with AI engineers platform teams and security stakeholders to embed runtime guardrails security observability and continuous AI red-teaming into real production systems. This role is accountable for translating AI threat models into concrete engineering controls and for ensuring AI systems remain secure auditable and resilient as they evolve.

This is a hands-on role for practitioners who understand that AI security is an operational discipline not a policy exercise.

About SentraAI

SentraAI is a specialist enterprise AI firm focused on helping large regulated organisations move AI and data platforms from experimentation into production safely and sustainably.

We work inside enterprise run-states where governance operational risk change control and long-term ownership are integral to delivery. Our teams are trusted to design and deliver systems platforms and operating models that can be run audited and evolved not just launched.

We prioritise engineering discipline architectural clarity and delivery quality over speed theatre or hype.

Requirements

AI Threat Modelling and Security Architecture

Guide application and platform teams on threat modelling for AI and LLM-based systems across the full lifecycle
Develop and maintain AI-specific threat models aligned to recognised standards and regulatory expectations
Translate threat models into explicit architectural controls security requirements and acceptance criteria
Advise on secure AI design patterns including least-privilege isolation and human-in-the-loop safeguards

Secure Implementation and Runtime Enforcement

Work closely with AI and ML engineers to ensure secure implementation of AI guardrails within application codebases
Ensure robust input sanitisation validation and prompt hardening for text document and multimodal inputs
Ensure output validation redaction and data exfiltration prevention mechanisms are correctly implemented
Evaluate test and support deployment of LLM security frameworks and detection mechanisms
Ensure security-relevant telemetry and logs are captured in line with regulatory and audit requirements

AI Security Observability and SOC Integration

Define and publish AI-specific security indicators for operational monitoring and alerting
Enable real-time visibility into AI security signals such as anomalous behaviour prompt abuse or tool misuse
Support downstream security operations and incident response teams with actionable AI security context

AI Red Teaming and Offensive Security Integration

Embed automated AI security testing into CI/CD pipelines including prompt fuzzing and regression testing
Support and guide offensive security teams on LLM-specific attack scenarios
Operationalise AI red-teaming tools and custom adversarial test cases
Ensure findings feed back into guardrail tuning detection logic and adaptive defence mechanisms

Required Qualifications

Core Experience

Strong background in application development security engineering or platform engineering
Practical experience working with AI-enabled applications LLMs or ML pipelines
Solid grounding in application security concepts and secure software design
Hands-on experience implementing or integrating AI guardrails sanitisation and runtime security controls

AI and Security Capability

Practical understanding of AI and LLM threat vectors such as prompt injection data poisoning tool abuse and agent escalation
Experience collaborating closely with AI engineers platform teams and offensive security practitioners
Ability to translate security intent into concrete testable engineering controls

Advantageous but Not Mandatory

Experience with AI red-teaming tools or adversarial testing frameworks
Familiarity with secure CI/CD and DevSecOps practices
Experience operating in regulated or highly governed enterprise environments
Exposure to SOC integration detection engineering or security observability

Benefits

Why Work for SentraAI

Enterprise AI done properly.
We exist to take AI and data out of experimentation and into production environments that are regulated scrutinised and expected to work every day.
Quality is not optional.
SentraAI is built on the belief that engineering discipline governance by design and delivery rigour are competitive advantages not overhead.
Clear ownership and accountability.
You will be trusted with real responsibility clear mandates and meaningful outcomes not diluted roles or performative activity.
Work that survives contact with reality.
We design systems operating models and decisions that still stand up months and years after go-live not just at demo time.
Run-state matters as much as build-state.
We optimise for operability auditability and change control from day one because that is where enterprise value is won or lost.
Substance over hype.
We deliberately avoid delivery theatre buzzwords and novelty for noveltys sake. Credibility is earned through execution.
Learn from experienced practitioners.
You will work alongside people who have built broken fixed and run enterprise systems and who care deeply about doing the work properly.
A firm with a point of view.
SentraAI is opinionated by design. We stand for doing fewer things better and we expect our people to take pride in that standard.

Key Skills
Splunk,IDS,Network security,Computer Networking,Identity & Access Management,PKI,PCI,NIST Standards,Security System Experience,Information Security,Encryption,Siem
Employment Type : Full Time
Experience: years
Vacancy: 1

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