2 months ago
Manila, PhilippinesMid Level
Responsibilities
- Develop and implement an AI/ML security framework covering data ingestion, training, deployment, inference, and retirement.
- Assess and mitigate AI-specific threats including prompt injection, jailbreaking, adversarial attacks, model inversion, data poisoning, and training-data exfiltration.
- Lead security reviews of Azure OpenAI, Google Vertex AI, and Anthropic Claude integrations and enforce security guardrails.
- Govern RAG security, including data access controls, context-injection protections, and output monitoring.
- Design security controls for AI agents and agentic workflows, including tool use, autonomy boundaries, and escalation paths.
- Develop cloud security baselines across AWS, Azure, and/or GCP for AI/ML workloads.
- Perform threat modeling with MITRE ATLAS and the OWASP Top 10 for LLMs.
- Contribute to AI governance, model risk management, fairness and explainability security considerations, and regulatory alignment.
- Partner with red-team and offensive-security teams or vendors on AI adversarial testing.
- Implement monitoring and anomaly detection for model drift, unusual inference patterns, and data-pipeline anomalies.
- Advise leadership on emerging AI security risks and develop internal standards, playbooks, and training materials.
Requirements
- At least 3 years of information security experience, including hands-on cloud security work with AWS, Azure, or GCP.
- Understanding of model training pipelines, LLMs, embeddings, vector databases, RAG architectures, and AI agents.
- Familiarity with MITRE ATLAS, the OWASP LLM Top 10, and the NIST AI RMF.
- Proficiency in Python.
- Experience securing APIs, containerized workloads, and microservices in cloud environments.
- Understanding of AI training-data privacy requirements under GDPR and CCPA.
- Strong written communication skills and ability to explain complex AI security risks to nontechnical stakeholders.
- Preferred: AZ-500, AWS Security Specialty, or Google Professional Cloud Security Engineer certification.
- Preferred: experience with MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI.
- Preferred: AI red-teaming, adversarial ML research, financial services or other regulated-industry experience, and LLM gateway security products such as Portkey or LiteLLM.
Benefits
- Employment offers are contingent on successfully passing a credit check, criminal background check, pre-employment medical screening, and drug screening.
- Axos is an Equal Opportunity employer and provides reasonable accommodations for disabilities.
- The posting describes an office work environment requiring extended sitting and use of standard office equipment.
About Axos Bank
Axos Bank is a digital-first, publicly traded bank (NYSE: AX) offering consumer and business banking, lending, and wealth services, including checking and savings accounts, mortgages, auto and personal loans, and CDs. Founded in 2000 and headquartered in San Diego, it also provides securities clearing and custody through Axos Clearing for broker-dealers and RIAs, with revenue driven by interest income and fees across its nationwide online platform.