IBM is hiring: Senior AI Cybersecurity Consultant in San Francisco

Job Title Senior AI Cybersecurity Consultant – IBM Overview We are seeking a highly skilled and forward‑thinking AI Cybersecurity Consultant to lead the integration of Artificial Intelligence and Large Language Models (LLMs) into advanced cybersecurity solutions across client environments. The role combines strategic advisory, technical design, and hands‑on implementation to enhance threat detection, response automation, and intelligence capabilities. Responsibilities Assess client security architectures, SOC workflows, and threat management processes to identify AI and LLM integration opportunities. Develop AI adoption roadmaps aligned with business, security, and compliance objectives. Advise on AI‑driven security architecture, including SIEM/SOAR platforms, threat intelligence, threat hunting, and endpoint protection. Design and deploy ML models for advanced threat detection, incident triage, anomaly and phishing detection, data leak prevention, and behavioral analytics. Build and integrate LLM‑based security agents for automated alert triage, incident enrichment, and adversary simulation using IBM WatsonX and other frameworks. Collaborate with data scientists and engineers to curate security telemetry, threat intelligence feeds, and log data for model training. Apply MLOps/LLMOps practices for model deployment, monitoring, and retraining while ensuring data privacy and compliance. Enhance threat hunting, vulnerability prioritization, and predictive analytics using AI and LLMs. Automate SOC workflow such as alert triage, incident classification, and playbook execution. Conduct risk assessments for AI/LLM models, addressing bias, adversarial robustness, and model drift. Ensure compliance with GDPR, NIST, ISO 27001, and establish governance frameworks for ethical AI use in cybersecurity. Educate clients and internal teams on AI/LLM capabilities and limitations; lead workshops, demos, and training sessions to build AI literacy. Collaborate with vendors and partners to evaluate third‑party AI/LLM security solutions. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Strong understanding of cybersecurity principles, threat landscapes, and security frameworks. Proven experience in AI/ML development for security use cases, including NLP, LLM applications for threat detection and SOC automation. Familiarity with threat hunting, incident response, and security data transformation. Technical Expertise Proficiency in Python (required); C# (desirable). Experience with AI/ML frameworks (PyTorch, TensorFlow, Scikit‑learn, Kubeflow). Working knowledge of LLM models like Gemini, Llama, GPT, DALL‑E and frameworks like LangChain, LangGraph, REACT, vector databases like Faiss, Pinecone. Understanding of RAG architectures, vector databases, and prompt engineering. Familiarity with LangGraph, REACT frameworks and agent‑based LLM design for SOC automation. Operational Knowledge Hands‑on experience with security platforms (Splunk, XSIAM, Sentinel, Cortex XSOAR) and threat intelligence tools. Familiarity with cloud environments (AWS, Azure, GCP) and their security services. Knowledge of MLOps/LLMOps tools and practices for model lifecycle management. Soft Skills Excellent communication and stakeholder engagement skills. Ability to translate complex AI/ML concepts into actionable cybersecurity strategies. Preferred Technical And Professional Experience Experience with IBM WatsonX, OpenAI, Copilot or similar enterprise AI/LLM platforms (preferred). Work Location United States – Remote #J-18808-Ljbffr