Cyber Threat Intelligence Analyst

Role and Responsibility: The client is seeking an experienced Application Developer to design, develop, and support next\-generation cybersecurity applications that leverage Artificial Intelligence (AI), Machine Learning (ML), and Generative AI to detect, investigate, and respond to threats across the enterprise. This role will partners with Cybersecurity, Security Operations (SOC), Identity \& Access Management (IAM), and Data Science teams to build intelligent applications that identify anomalous user behavior, automate investigations, summarize security events, and improve threat detection and reporting through AI\-driven analytics. The candidate combines strong software engineering skills with cybersecurity expertise and hands\-on experience developing AI\-enabled security solutions using Large Language Models (LLMs), behavioral analytics, and cloud\-native AI services. Additionally, the candidate should have experience navigating a large enterprise developer environment and software development lifecycle. Responsibilities: Design, develop, and maintain enterprise Threat Intelligence applications and AI\-powered security services. Build intelligent workflows that leverage AI to identify risk, anomalous user behavior, and suspicious access patterns. Develop Retrieval\-Augmented Generation (RAG) solutions that enable investigators to query security data using natural language. Create AI agents to automate security investigations, evidence collection, case enrichment, and reporting. Develop integrations between Threat Intelligence platforms, SIEM, SOAR, IAM, DLP, HR systems, endpoint security platforms, and cloud services. Build REST APIs and microservices supporting enterprise security platforms. Develop risk scoring models using machine learning and behavioral analytics. Create executive dashboards and AI\-generated summaries for Threat Intelligence operations. Automate repetitive security tasks using Power Platform, Python, PowerShell, and AI orchestration frameworks. Integrate Large Language Models (LLMs) into investigative workflows while ensuring Responsible AI practices. Build scalable data pipelines for ingesting and analyzing large volumes of security telemetry. Collaborate with Security Operations, Insider Threat, Data Science, and Enterprise Architecture teams to deploy AI\-enabled detection capabilities. Ensure applications comply with enterprise security, privacy, governance, and AI compliance standards. Participate in architecture reviews, code reviews, Agile ceremonies, testing, and production deployments. Qualifications: Bachelor’s degree in computer science, Cybersecurity, Software Engineering, Data Science, or related field. 5\+ years of enterprise software development experience. 3\+ years developing cybersecurity applications or security automation. 2\+ years of experience developing AI, Machine Learning, or Generative AI solutions. Strong understanding of Insider Threat programs, SIEM, UEBA, and identity security. Experience building secure, scalable enterprise applications using Agile methodologies. Preferred Experience: AWS\-native security application development. Building AI\-powered SOC analyst assistants. Autonomous AI agents for cybersecurity investigations. Threat hunting automation. Security orchestration using AWS services. Cloud\-native microservices architecture. Event\-driven application development. Large\-scale enterprise security analytics. Security data lake implementations. Detection engineering. Digital forensics. Insider Threat analytics. Soft Skills: Strong analytical and investigative mindset. Ability to translate complex security problems into AI\-driven solutions. Excellent communication and presentation skills. Collaborative approach to working with Cybersecurity, Data Science, Legal, Compliance, and IT teams. Strong documentation and technical writing skills. Passion for emerging AI technologies and continuous learning. Join us to be part of a forward\-thinking team dedicated to safeguarding our digital assets through innovative threat intelligence strategies! Pay: $75\.00 \- $80\.00 per hour Benefits: * Flexible schedule Work Location: Remote