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AI Security Engineer

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 7+ years

📍 Location: United States

💸 Salary: 174800.0 - 218500.0 USD per year

🔍 Industry: Healthcare IT

🏢 Company: Omada Health👥 501-1000💰 $80,000,000 Debt Financing over 2 years agoTherapeuticsMedicalWellnessHealth Care

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: DockerPythonSoftware DevelopmentCloud ComputingCybersecurityKubernetesMachine LearningSoftware ArchitectureAlgorithmsData StructuresREST APIComplianceRisk Management

Requirements:
  • 7+ years of experience in information security, with 3+ years focusing on AI/ML systems
  • Deep expertise in AI/ML security, including model security, data poisoning prevention, prompt injection guardrails, and privacy-preserving techniques
  • Strong background in security architecture and threat modeling
  • Experience implementing AI security controls in a regulated environment
  • Advanced degree in Computer Science, Cybersecurity, or a related field
  • Experience implementing Nvidia NeMo guardrails or similar LLM protect frameworks
  • Knowledgeable in Amazon Bedrock, OpenAI APIs, Langchain, or similar AI model platforms
  • Expertise in Python and modern software development practices
  • Understanding of healthcare compliance (HIPAA, HITECH)
  • Excellent analytical, problem-solving, and communication skills
  • Ability to work independently to learn new technologies, processes, frameworks, and systems.
Responsibilities:
  • Design and implement security architecture for AI systems, including LLMs and ML platforms
  • Develop security standards and patterns for AI development and deployment
  • Lead threat modeling for AI features
  • Establish security controls for model training and monitoring
  • Guide engineering teams on secure AI implementation patterns, including designing reusable multi-modal guardrails to protect against security, privacy, clinical, and brand threats
  • Collaborate with product teams to evaluate security implications of new AI features
  • Develop AI security testing tools including red team AI agents to test new features and models
  • Lead incident response for AI-related security events
  • Evaluate AI vendors and SaaS providers for security, compliance and data protection
  • Assess emerging AI security tools and technologies
  • Review cloud-based AI services for healthcare compliance
  • Partner with legal and compliance teams ensure AI initiatives meet regulatory and contractual requirements
  • Implement controls for data privacy, model integrity, and access management
  • Develop metrics and reporting for AI security posture
  • Liaison with customers and auditors on Omada’s approach to AI security and compliance
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