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Our organization is seeking a Cybersecurity Engineer IV to join the Security Engineering team. This role is focused on designing, implementing, and operating traditional security platforms and AI-enabled security systems. The position involves integrating Agentic AI-driven security operations to enable intelligent automation, contextual threat analysis, and advanced security workflows across enterprise platforms, ensuring best practices and advancing automation maturity.
Job Responsibility:
Design, implement, and review security controls across enterprise platforms including cloud, SaaS, and on-premise environments
Build and manage enterprise security tools and infrastructure
Architect and deploy AI-powered security workflows using Agentic AI frameworks
Develop and maintain Model Context Protocol (MCP) servers and integrations for security tools and data sources
Implement Retrieval-Augmented Generation (RAG) pipelines for threat intelligence, alert contextualization, and SOC knowledge retrieval
Integrate AI capabilities into vendor platforms such as Splunk, Palo Alto Networks Cortex XSOAR, and SentinelOne
Design and deploy AI-driven playbooks and automation workflows for detection and response
Evaluate and onboard emerging AI-native security technologies
Configure, troubleshoot, and maintain security infrastructure
Conduct security assessments and continuously improve security posture
Perform OS and infrastructure hardening, logging, and monitoring
Communicate technical risks and strategies to leadership
Requirements:
5+ years of hands-on experience in security engineering tools (EDR, SIEM, SOAR)
2+ years of experience in AI application and agent development
5+ years of programming/scripting experience with Python, Go, or an equivalent language
Experience designing, building, and maintaining enterprise security platforms
Hands-on experience building or integrating Agentic AI systems
Experience with RAG architectures (vector search + LLM pipelines), vector databases (e.g., Pinecone, Weaviate), and embedding models/LLM APIs
Experience building or integrating MCP servers or equivalent context-sharing frameworks
Ability to design multi-step AI workflows (agents) for security use cases
Understanding of prompt engineering, context management, and model limitations
Experience integrating AI/automation into platforms like Splunk, Palo Alto Networks Cortex XSOAR, and SentinelOne
Nice to have:
Experience with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Familiarity with AI observability, evaluation, and guardrails
Experience with security data lakes and large-scale telemetry pipelines
Relevant certifications such as CISSP, AWS Solutions Architect, or Splunk certifications
Experience in the media/entertainment industry or a global distributed environment
What we offer:
medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
corporate discount savings program
other discounts
on-demand training program
access to certification prep and library of technical and leadership courses/books/seminars after 6+ months tenure
certification discounts and other perks to associations including CompTIA and IIBA