AI Security Architect | Threat Detection

Há 1 dia

Brasil IBM Tempo integral
Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities
• Define and lead the AI-driven cybersecurity architecture strategy for threat detection, threat hunting, and incident response.
• Design and implement AI/ML-based security solutions to identify malicious activities, anomalies, and emerging cyber threats.
• Develop security architectures that integrate AI capabilities with SOC, SIEM, SOAR, XDR, and threat intelligence platforms.
• Lead the design of predictive threat analytics and behavioral analytics solutions to proactively identify security risks.
• Establish AI governance, security controls, and ethical guidelines for the deployment of AI technologies within cybersecurity environments.
• Collaborate with Security Operations, Threat Intelligence, Data Science, and Engineering teams to operationalize AI-powered threat detection capabilities.
• Drive the integration of Generative AI and Machine Learning technologies into cyber defense and incident response processes.
• Conduct threat modeling, security architecture reviews, and risk assessments for AI-enabled security platforms.
• Design and implement automated threat response and remediation frameworks utilizing AI technologies.
• Evaluate and select AI security tools, models, and platforms to improve detection accuracy and operational efficiency.
• Enhance security capabilities through User and Entity Behavior Analytics (UEBA), anomaly detection, and predictive risk scoring.
• Ensure AI solutions comply with security, privacy, regulatory, and governance requirements.
• Monitor emerging cybersecurity threats, attack techniques, and AI advancements to continuously improve security defenses.
• Provide leadership and technical guidance to security engineers, data scientists, and cybersecurity stakeholders.
• Communicate AI security strategy, risks, and recommendations to executives and business leaders. Business Impact
• Improves threat detection speed and accuracy.
• Reduces Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
• Enhances SOC efficiency through intelligent automation.
• Strengthens organizational resilience against advanced cyber threats.
• Enables proactive threat prevention through predictive analytics.
• Supports secure adoption of AI technologies across the enterprise Preferred Education Bachelor's Degree Required Technical And Professional Expertise Buscamos um profissional com forte experiência em Arquitetura de Cybersecurity e Security Operations, especializado no desenho de soluções de segurança habilitadas por AI/ML para detecção, análise e resposta a ameaças. O perfil deve possuir conhecimentos sólidos em Threat Intelligence, Threat Hunting, Incident Response e transformação de operações de segurança em ambientes corporativos de grande porte. É fundamental experiência na liderança de iniciativas de transformação de segurança, colaboração com equipes multidisciplinares de Data Science, Security Engineering e SOC, além de forte capacidade de comunicação com stakeholders e executivos. Também é esperado entendimento de AI Governance, Responsible AI, gestão de riscos e habilidade para traduzir conceitos complexos de segurança e inteligência artificial em resultados de negócio. Principais Competências Técnicas
• Artificial Intelligence (AI) and Machine Learning (ML) for Cybersecurity
• Generative AI and Large Language Models (LLMs)
• Security Architecture and Enterprise Security Frameworks
• Threat Detection, Threat Intelligence and Threat Hunting
• SIEM, SOAR, XDR e UEBA
• Security Analytics and Data Science
• Adversarial Machine Learning and AI Security
• Threat Modeling and Risk Assessment
• Vulnerability Management and Incident Response
• Cloud Security (AWS, Azure, GCP)
• Identity and Access Management (IAM)
• Security Automation and DevSecOps
• Python, SQL, Data Analytics and Security Data Pipelines
• MITRE ATT&CK Framework
• NIST Cybersecurity Framework (CSF)
• Data Protection and Privacy Controls Preferred Technical And Professional Experience
• Advanced AI Applications: Experience with innovative AI/ML techniques to enhance threat detection and response capabilities
• LLM Integration Expertise: Knowledge of integrating LLM frameworks into threat detection systems to drive innovation
• Emerging Threat Analysis: Experience analyzing emerging threats and developing strategies to mitigate them Preferred Certifications
• CISSP – Certified Information Systems Security Professional
• CCSP – Certified Cloud Security Professional
• CISM – Certified Information Security Manager
• GIAC Certified Enterprise Defender (GCED)
• GIAC Machine Learning Engineer (GMLE)
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• Microsoft Applied Skills for Security Copilot and AI Security
• Google Professional Cloud Security Engineer
• AWS Security Specialty
• Certified Ethical Hacker (CEH)