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Senior Solutions Consultant (New York)
Senior Solutions Consultant (New York)Trellix • New York, NY, US
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Senior Solutions Consultant (New York)

Senior Solutions Consultant (New York)

Trellix • New York, NY, US
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AI Cyber Defense Consultant

We are seeking a seasoned and strategic Senior AI Cyber Defense Consultant to spearhead the advancement of an organization's AI Cyber Security program. In this pivotal remote role, you will be instrumental in designing, implementing, and optimizing advanced AI-driven cybersecurity strategies for our healthcare clients. You will serve as a trusted advisor, translating complex technical challenges into actionable, compliant, and resilient security solutions that protect sensitive patient data and critical systems. This role requires a blend of deep cybersecurity expertise, a strong understanding of AI / ML principles, and a passion for safeguarding the future of healthcare. This onsite / remote position, with occasional on-site travel, requires a proactive and independent leader. The ideal candidate will possess deep technical expertise and a demonstrated ability to collaborate effectively across all organizational levels.

AI Risk Management & Mitigation

  • Conduct comprehensive risk assessments to pinpoint and analyze vulnerabilities specific to AI and Machine Learning systems, including threats like adversarial attacks, data poisoning, and model inversion
  • Architect and execute robust strategies to neutralize and mitigate identified AI-specific security risks

AI-Power Security Deployment & Integration

  • Lead the design, development, integration, and implementation of cutting-edge, AI-driven security solutions, such as advanced anomaly detection systems, predictive threat intelligence platforms, and automated incident response tools
  • Oversee the integration of AI into the broader cybersecurity framework, ensuring that all security measures are in lockstep with business goals and regulatory mandates
  • Design, develop, and deploy AI / ML models and algorithms for cybersecurity use cases, including but not limited to intrusion detection, malware analysis, user and entity behavior analytics (UEBA), and security orchestration, automation, and response (SOAR)

    • Threat Intelligence & Incident Response

  • Monitor and analyze the landscape of AI / ML innovation for relevancy, cybersecurity threats (including APTs), and healthcare industry regulations
  • Research and evaluate new AI-powered security technologies and methodologies, proposing innovative solutions to address evolving client needs
  • Spearhead the development of thought leadership and best practices in AI cyber defense, with a specific focus on the healthcare sector
  • Leverage the ethical and AI / ML to enhance threat intelligence capabilities, predicting emerging attack vectors and proactively strengthening defenses
  • Develop and refine automated incident response playbooks, utilizing AI for faster detection, triage, and containment of security incidents
  • Conduct post-incident analysis, deriving insights to continually improve AI models and defense strategies

    • Education & Enablement

  • Develop and deliver a comprehensive training program for AI users, focusing on threat awareness and the prevention of data leaks to empower the organization

    • Program Development & Governance

  • Serve as a subject matter expert, establishing and guiding a comprehensive AI governance program. This includes defining policies and developing supporting processes to ensure the safe, ethical, trustworthy, and compliant use of AI technologies across the organization, proactively identifying and mitigating associated risks
  • Oversee the implementation and management of advanced Data Loss Prevention (DLP) tools and their governance frameworks, safeguarding sensitive information and ensuring data integrity, specifically as it relates to AI data use cases and tools

    • Strategic Advisory & Collaboration

  • Serve as a subject matter expert, providing critical guidance to clients on on AI-driven cyber defense strategies, risk assessments, and compliance with healthcare regulations (e.g., HIPAA, HITRUST, NIST Cybersecurity Framework)
  • Deliver insightful reporting on emerging AI trends, evolving threat landscapes, and critical vulnerabilities to key stakeholders
  • Conduct comprehensive assessments of client security postures, identifying vulnerabilities, threats, and opportunities for AI / ML integration to enhance defense mechanisms
  • Develop tailored cybersecurity roadmaps and architectural designs incorporating AI / ML for threat detection, anomaly analysis, incident response, and predictive security
  • Partner with project managers and cross-functional teams to devise, execute, and plan for integrating new AI technologies, fostering a culture of security awareness and innovation

    • Qualifications

    Education & Experience

    A minimum of 8 years of extensive experience in cybersecurity, with at least 2 years focused on AI-powered technologies and frameworks, data security, threat analysis, governance risk and compliance, and vulnerability management

    Bachelor's degree in Computer Science, Cybersecurity, Data Science, Information Technology, or a related field. Master's degree preferred. However, equivalent professional experience will be strongly considered.

    Certifications

    Relevant cybersecurity industry standard certifications such as CISSP, CISM, or CompTIA Security+, CEH, or AI / ML-related certifications such as SANS SEC595, CAIP, AWS Certified Machine Learning Specialty, or GCP Machine Learning Engineer

    Technical Skills

  • Deep AI & Machine Learning Expertise : In-depth, practical understanding of Generative AI, Large Language Models (LLMs) such as ChatGPT and Gemini, and core machine learning and deep learning concepts
  • AI Development Tools Proficiency : Skilled in common AI / ML frameworks and libraries, including TensorFlow, PyTorch, Hugging Face, LangChain, and Scikit-learn
  • Robust Cybersecurity Foundation : Strong grasp of cybersecurity principles, threat modeling, and best practices
  • Data Security & Governance Experience : Proficient with data security tools, data loss prevention (DLP) tools, and governance strategies
  • Cloud Security Acumen : Demonstrated experience across major cloud platforms (AWS, Azure, GCP) and their native security services
  • SIEM & Data Analysis Proficiency : Expertise in utilizing SIEM technologies (e.g., Splunk, QRadar) and analyzing extensive datasets to detect security threats
  • Network Security & NDR Expertise : Experienced with Network Detection and Response (NDR) tools, network traffic analysis, TCP / IP, DNS, and HTTP / S protocols
  • Operating Systems Knowledge : Comprehensive understanding of Windows, Linux, and Unix system hardening
  • Scripting Proficiency : Adept in scripting languages like Python, PowerShell, Java, or Bash
  • ML Model Attack / Defense Experience : Practical experience with adversarial ML and data poisoning
  • AI Red Teaming & Threat Modeling Familiarity : Knowledge of AI red teaming and threat modeling for LLMs or generative AI
  • AI Incident Response & Model Interpretability : Familiarity with AI incident response and model interpretability tools (e.g., SHAP, LIME)
  • Privacy-Preserving AI : Experience with privacy-preserving AI techniques (e.g., differential privacy, federated learning)
  • Security Platform Expertise : Proven hands-on experience with leading SIEM platforms (e.g., Splunk, Microsoft Sentinel, IBM QRadar, Trellix ESM, Securonix), EDR solutions, SOAR platforms, cloud-native security controls across AWS, Azure, and GCP, and comprehensive vulnerability management tools

    • Soft Skills

  • Excellent analytical, problem-solving, and critical thinking skills
  • Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
  • Ability to work independently and as part of a remote, collaborative team, managing multiple client engagements simultaneously

    • Compliance & Standards

  • Deep understanding of security frameworks such as NIST RMF, NIST SP 800-53, MITRE ATT&CK, and ISO / IEC 27001 / 27002
  • Familiarity with regulatory requirements like HIPAA, HITECH, HITRUST, PCI DSS, and GDPR

    • Company Benefits and Perks :

  • Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

    • 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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