Trellix
Overview Senior AI Cyber Defense Consultant — Senior Solutions Consultant role focusing on advancing AI cybersecurity programs for healthcare clients. This remote role involves designing, implementing, and optimizing AI-driven cybersecurity strategies, translating complex challenges into compliant and resilient security solutions that protect patient data and critical systems. Requires deep cybersecurity expertise, strong AI/ML understanding, and a passion for safeguarding healthcare.
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
This onsite/remote position may include occasional on-site travel and requires a proactive, independent leader who can collaborate across all organizational levels.
Responsibilities
AI Risk Management & Mitigation: Conduct risk assessments for AI/ML systems, address adversarial attacks, data poisoning, and model inversion; design and implement strategies to mitigate AI-specific security risks.
AI-Power Security Deployment & Integration: Lead design, development, integration, and implementation of AI-driven security solutions (e.g., anomaly detection, threat intelligence, automated incident response); align AI initiatives with business goals and regulatory mandates.
AI/ML Model Development: Design, develop, and deploy AI/ML models for cybersecurity use cases (e.g., intrusion detection, UEBA, SOAR).
Threat Intelligence & Incident Response: Monitor AI/ML threat landscapes and healthcare regulations; develop best practices and thought leadership; create automated incident response playbooks and conduct post-incident analysis to improve AI models.
Education & Enablement: Develop and deliver training focused on threat awareness and preventing data leaks.
Program Development & Governance: Establish AI governance programs, policies, and processes for safe, ethical, and compliant AI; oversee DLP governance related to AI data use cases and tools.
Strategic Advisory & Collaboration: Advise clients on AI-driven cyber defense, risk assessments, and healthcare regulatory compliance; report on AI trends and threats; assess client security postures and develop AI/ML integration roadmaps; collaborate with project managers to plan deployment of new AI technologies.
Qualifications
Education & Experience : Minimum 8 years in cybersecurity with at least 2 years focusing on AI technologies, data security, threat analysis, governance, risk and compliance, and vulnerability management. Bachelor’s degree in CS, Cybersecurity, Data Science, IT or related field; Master’s preferred. Equivalent professional experience considered.
Certifications : CISSP, CISM, CompTIA Security+, CEH, and AI/ML-related certifications (SANS SEC595, CAIP, AWS/GCP/Azure ML certs).
Technical Skills : Deep AI/ML expertise (GenAI, LLMs like ChatGPT, Gemini); proficiency with TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn; strong cybersecurity foundation; data security, DLP, cloud security on AWS/Azure/GCP; SIEM (Splunk, QRadar, etc.), EDR, SOAR; network security and NDR; OS hardening; scripting (Python, PowerShell, Java, Bash); adversarial ML and data poisoning; AI red teaming & threat modeling; AI incident response & model interpretability (SHAP, LIME); privacy-preserving AI (diff privacy, federated learning); security platforms and governance tools across major clouds.
Soft Skills : Strong analytical, problem-solving, and communication skills; ability to convey complex concepts to technical and non-technical audiences; ability to work independently in remote settings and manage multiple client engagements.
Compliance & Standards : Knowledge of NIST RMF, NIST SP 800-53, MITRE ATT&CK, ISO/IEC 27001/27002; familiarity with HIPAA, HITECH, HITRUST, PCI DSS, GDPR.
Benefits
Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We are committed to a workplace where everyone can thrive and contribute to our products and customer support, and we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
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Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
This onsite/remote position may include occasional on-site travel and requires a proactive, independent leader who can collaborate across all organizational levels.
Responsibilities
AI Risk Management & Mitigation: Conduct risk assessments for AI/ML systems, address adversarial attacks, data poisoning, and model inversion; design and implement strategies to mitigate AI-specific security risks.
AI-Power Security Deployment & Integration: Lead design, development, integration, and implementation of AI-driven security solutions (e.g., anomaly detection, threat intelligence, automated incident response); align AI initiatives with business goals and regulatory mandates.
AI/ML Model Development: Design, develop, and deploy AI/ML models for cybersecurity use cases (e.g., intrusion detection, UEBA, SOAR).
Threat Intelligence & Incident Response: Monitor AI/ML threat landscapes and healthcare regulations; develop best practices and thought leadership; create automated incident response playbooks and conduct post-incident analysis to improve AI models.
Education & Enablement: Develop and deliver training focused on threat awareness and preventing data leaks.
Program Development & Governance: Establish AI governance programs, policies, and processes for safe, ethical, and compliant AI; oversee DLP governance related to AI data use cases and tools.
Strategic Advisory & Collaboration: Advise clients on AI-driven cyber defense, risk assessments, and healthcare regulatory compliance; report on AI trends and threats; assess client security postures and develop AI/ML integration roadmaps; collaborate with project managers to plan deployment of new AI technologies.
Qualifications
Education & Experience : Minimum 8 years in cybersecurity with at least 2 years focusing on AI technologies, data security, threat analysis, governance, risk and compliance, and vulnerability management. Bachelor’s degree in CS, Cybersecurity, Data Science, IT or related field; Master’s preferred. Equivalent professional experience considered.
Certifications : CISSP, CISM, CompTIA Security+, CEH, and AI/ML-related certifications (SANS SEC595, CAIP, AWS/GCP/Azure ML certs).
Technical Skills : Deep AI/ML expertise (GenAI, LLMs like ChatGPT, Gemini); proficiency with TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn; strong cybersecurity foundation; data security, DLP, cloud security on AWS/Azure/GCP; SIEM (Splunk, QRadar, etc.), EDR, SOAR; network security and NDR; OS hardening; scripting (Python, PowerShell, Java, Bash); adversarial ML and data poisoning; AI red teaming & threat modeling; AI incident response & model interpretability (SHAP, LIME); privacy-preserving AI (diff privacy, federated learning); security platforms and governance tools across major clouds.
Soft Skills : Strong analytical, problem-solving, and communication skills; ability to convey complex concepts to technical and non-technical audiences; ability to work independently in remote settings and manage multiple client engagements.
Compliance & Standards : Knowledge of NIST RMF, NIST SP 800-53, MITRE ATT&CK, ISO/IEC 27001/27002; familiarity with HIPAA, HITECH, HITRUST, PCI DSS, GDPR.
Benefits
Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We are committed to a workplace where everyone can thrive and contribute to our products and customer support, and we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
#J-18808-Ljbffr