AI Security Engineer

Role Overview

We seek an AI Security Engineer to fortify our AI-driven platforms, including large language model applications, machine learning systems, and AI-powered automation tools. This position focuses on identifying, evaluating, and mitigating security vulnerabilities throughout the AI lifecycle, spanning from model creation and training to deployment and ongoing monitoring.

Primary Responsibilities

• Architect and apply security controls for AI/ML systems during development, training phases, and live production environments.
• Secure integration points such as LLMs, retrieval-augmented generation (RAG) pipelines, and AI APIs.
• Perform threat modeling exercises for AI systems and their data pipelines.
• Define and establish secure-by-design standards for AI-enhanced functionalities.
• Detect and suppress AI-specific risks including prompt injection, jailbreak attempts, model poisoning, data leakage, adversarial manipulations, insecure serialization, and permission overreach in AI agents.
• Devise guardrails, implement content filters, and validate AI output to maintain security integrity.
• Set up systems to monitor anomalous or suspicious AI behaviors.
• Integrate AI security checks into continuous integration and continuous deployment (CI/CD) workflows.
• Conduct security assessments of machine learning codebases and AI infrastructures.
• Ensure protection of model registries and artifact storage locations.
• Collaborate with engineering and platform teams to enforce organization-wide security policies.
• Maintain compliance with regulations such as GDPR and applicable financial industry standards; enforce controls on sensitive data used in training and inference.
• Conduct AI-focused risk evaluations aligned with internal risk frameworks.
• Help develop AI security standards, policies, risk classification schemes, and control frameworks within the company.
• Participate in security review processes for new AI projects and tools.

Qualifications

• Three to five plus years of experience in software engineering, machine learning engineering, or application security roles.
• Practical expertise working with AI/ML solutions including large language models and natural language processing frameworks.
• Proficiency in Python for scripting and automation tasks.
• Experience with Claude Code platform.
• Strong background with cloud service providers such as AWS, Azure, or Google Cloud Platform.
• Knowledge of API security, container technologies like Docker, and orchestration with Kubernetes.
• Understanding of AI-specific threats and appropriate defensive techniques.
• Capable of performing threat modeling and comprehensive risk assessments.

Desirable Skills

• Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, and machine learning pipelines like MLflow, Kubeflow, and SageMaker.
• Experience operating within fintech or regulated industry environments.
• Acquaintance with AI governance frameworks including EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001 standards.
• Background in AI red teaming and cybersecurity practices such as OWASP and secure software development lifecycle methodologies.

Interpersonal Skills

• Strong analytical and problem-solving aptitude.
• Ability to communicate technical AI security risks in business-relevant terms.
• Capable of articulating AI security concepts to non-technical stakeholders.
• Effective collaboration across ML, data, and product teams.
• Clear and precise documentation and communication abilities.

Benefits and Perks

• Competitive compensation that values your expertise and contributions.
• Supportive work-life balance considering your time inside and outside the workplace.
• Generous vacation policy to recharge without concerns.
• Employee referral incentives to grow the team with talented acquaintances.
• Comprehensive health insurance and pension schemes, including location-specific extras.
• Opportunity to work remotely from anywhere globally for up to 30 additional days with some restrictions.
• Two extra paid volunteer days annually for community involvement.

Additional Information

Join as a pivotal contributor in the burgeoning digital asset sector, surrounded by a top-tier team that encourages talent, initiative, and creative problem-solving.

Artificial intelligence tools may aid parts of the recruitment process like application screening and resume analysis; however, final hiring decisions rest with human evaluators. For queries about personal data processing, please contact the company directly.