ApplyAI 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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