Senior Cyber Defense Solutions Consultant

AI Cyber Defense Consultant We are looking for a highly experienced Senior AI Cyber Defense Consultant to lead the evolution of our organization's AI Cyber Security program. In this crucial role, you will be responsible for designing, implementing, and enhancing advanced AI-driven cybersecurity strategies tailored for our healthcare clients. You will play a key advisory role, converting complex technical issues into practical, compliant, and effective security solutions that protect sensitive patient data and essential systems. This remote position allows for occasional on-site travel and requires a proactive, independent leader. The ideal candidate will possess deep technical acumen and a proven ability to collaborate effectively across all levels of the organization. AI Risk Management & Mitigation Conduct thorough risk assessments to identify and evaluate AI and Machine Learning system vulnerabilities, including risks such as adversarial attacks, data poisoning, and model inversion. Develop and execute strong methods to eliminate and mitigate identified AI-specific security risks. AI-Powered Security Deployment & Integration Direct the design, development, integration, and implementation of state-of-the-art, AI-driven security solutions, such as advanced anomaly detection systems, predictive threat intelligence platforms, and automated incident response tools. Ensure the seamless integration of AI technologies into the broader cybersecurity framework, aligning all security measures with business objectives and regulatory requirements. Design, develop, and deploy AI/ML models and algorithms for cybersecurity applications, including 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 advancements, cybersecurity threats (including APTs), and healthcare regulations. Investigate and assess new AI-powered security technologies and methodologies, suggesting innovative solutions to meet evolving client demands. Lead the development of thought leadership and best practices in AI cyber defense, particularly within the healthcare sector. Utilize ethical AI/ML practices to enhance threat intelligence capabilities, forecasting emerging attack vectors and proactively fortifying defenses. Develop and refine automated incident response strategies, leveraging AI for rapid detection, triage, and containment of security incidents. Conduct post-incident evaluations, extracting insights to continuously improve AI models and defense strategies. Education & Enablement Create and deliver comprehensive training programs for AI users, focusing on threat awareness and data leak prevention to empower the organization. Program Development & Governance Act as a subject matter expert, establishing and guiding a detailed AI governance program. This involves defining policies and developing supportive processes to ensure the safe, ethical, trustworthy, and compliant utilization of AI technologies while proactively identifying and addressing associated risks. Oversee the implementation and management of sophisticated Data Loss Prevention (DLP) tools and their governance frameworks to protect sensitive information and maintain data integrity, especially in relation to AI data usage and tools. Strategic Advisory & Collaboration Provide expert guidance to clients regarding AI-driven cyber defense strategies, risk assessments, and compliance with healthcare regulations (e.g., HIPAA, HITRUST, NIST Cybersecurity Framework). Deliver insightful reports on emerging AI trends, evolving threat landscapes, and critical vulnerabilities to important stakeholders. Conduct thorough assessments of client security postures to identify vulnerabilities, threats, and opportunities for AI/ML integration enhancing defense mechanisms. Create customized cybersecurity plans and architectural designs that incorporate AI/ML for threat detection, anomaly analysis, incident response, and predictive security. Collaborate with project managers and cross-functional teams to strategize, implement, and plan for the integration of 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 concentrating 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. A Master's degree is preferred, but equivalent professional experience will be strongly considered. Certifications Relevant cybersecurity industry standard certifications such as CISSP, CISM, CompTIA Security+, CEH, or AI/ML-related certifications like SANS SEC595, CAIP, AWS Certified Machine Learning Specialty, or GCP Machine Learning Engineer. Technical Skills In-depth knowledge of Generative AI, Large Language Models (LLMs) like ChatGPT and Gemini, as well as foundational machine learning and deep learning concepts. Proficiency in AI/ML frameworks and libraries including TensorFlow, PyTorch, Hugging Face, LangChain, and Scikit-learn. Strong grasp of cybersecurity principles, threat modeling, and best practices. Experienced with data security tools, data loss prevention (DLP) techniques, and governance strategies. Hands-on experience with major cloud platforms (AWS, Azure, GCP) and their native security services. Expertise in SIEM technologies (e.g., Splunk, QRadar) and analysis of extensive datasets to identify security threats. Familiarity with Network Detection and Response (NDR) tools, traffic analysis, and understanding network protocols (TCP/IP, DNS, HTTP/S). Comprehensive understanding of Windows, Linux, and Unix system hardening practices. Proficiency in programming languages such as Python, PowerShell, Java, or Bash. Hands-on experience with adversarial ML techniques and understanding of AI red teaming and threat modeling. Familiarity with AI incident response and model interpretability tools (e.g., SHAP, LIME). Experience with privacy-preserving AI techniques (e.g., differential privacy, federated learning). Proven skills with leading SIEM platforms (e.g., Splunk, Microsoft Sentinel, IBM QRadar, Trellix ESM, Securonix), EDR solutions, SOAR platforms, and comprehensive vulnerability management tools. Soft Skills Outstanding analytical, problem-solving, and critical thinking abilities. Excellent written and verbal communication skills; able to explain complex technical concepts clearly to both technical and non-technical audiences. Capability to work independently and as part of a remote, collaborative team while managing multiple client engagements effectively. 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 standards 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 are committed to prohibiting 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.