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Axos Bank

Digital bank offering integrated financial services

Cloud and AI Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeManila, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of information security experience, including hands-on cloud security work with AWS, Azure, or GCP.
  • Demonstrable understanding of AI/ML concepts, including model training pipelines, large language models, embeddings, vector databases, Retrieval-Augmented Generation architectures, and AI agents.
  • Familiarity with AI security threat frameworks, including MITRE ATLAS, OWASP LLM Top 10, and NIST AI RMF.
  • Proficiency in Python.
  • Experience securing APIs, containerized workloads, and microservices architectures in cloud environments.
  • Understanding of data privacy requirements for AI training datasets, including GDPR and CCPA.
  • Strong written communication skills and ability to explain complex AI security risks to non-technical stakeholders.

Responsibilities

  • Develop and implement a comprehensive 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 LLM integrations, including Azure OpenAI, Google Vertex AI, and Anthropic Claude, and enforce appropriate guardrails.
  • Implement and govern Retrieval-Augmented Generation security, including data access controls, context injection risks, and output monitoring.
  • Design security controls for AI agent and agentic workflow architectures, including tool use, autonomy boundaries, and escalation paths.
  • Develop cloud security baselines across AWS, Azure, and/or GCP to protect AI/ML workloads involving compute, storage, model registries, and APIs.
  • Perform threat modeling using MITRE ATLAS and OWASP Top 10 for LLMs for AI-powered applications across trading, fraud detection, and customer-facing services.
  • Contribute to AI governance policy covering model risk management, bias and fairness security implications, explainability requirements, and regulatory alignment with SR 11-7 and the EU AI Act.
  • Partner with red team and offensive security functions or vendors to conduct AI-specific adversarial testing exercises.
  • Implement monitoring and anomaly detection for AI system behavior, including model drift indicators, unusual inference patterns, and data pipeline anomalies.
  • Advise leadership on emerging AI security risks and mitigation strategies.
  • Contribute to internal AI security standards, playbooks, and training materials.

Desired Qualifications

  • Experience with ML libraries such as TensorFlow, PyTorch, Hugging Face, or LangChain.
  • Relevant cloud security certifications, such as AZ-500, AWS Security Specialty, or Google Professional Cloud Security Engineer.
  • Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI.
  • Exposure to AI red-teaming methodologies and adversarial ML research.
  • Background in financial services, fintech, or another highly regulated industry.
  • Experience with LLM gateway security products such as Portkey, LiteLLM, or similar.

About the Company

Axos Bank

Digital bank offering integrated financial services

Axos Bank is a financial institution that offers banking, investing, clearing, and custody services in a single platform. It provides traditional banking products for individuals and businesses, and integrates services across money management, investment, and settlement functions to simplify finances. The company operates as a digital-first bank, aiming to connect multiple financial services under one provider rather than requiring customers to use several firms. Its product approach centers on merging banking with other financial services to create a unified experience—one firm with many ways forward. Axos’s goal is to make money work smarter for customers by offering accessible, connected financial solutions and broadening the scope of what a bank can do for individuals, businesses, and institutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
1999

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