Cyber Threat Intelligence Analyst

• 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.

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., * 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!

• Flexible schedule