Platform Professional Services Sr. Consultant (remote, Gbr)

CrowdStrike CrowdStrike · Enterprise · United Kingdom · Remote

This role focuses on the deployment, implementation, and operational support of CrowdStrike's AI/ML capabilities for threat detection and response in cybersecurity. The consultant will configure, tune, and optimize AI models, develop automation playbooks, troubleshoot AI-related issues, and enhance AI capabilities through scripting and API usage. The role involves working with customers to integrate these AI features into their security workflows and support incident response with AI-powered analysis.

What you'd actually do

  1. Providing technical implementation, configuration, and troubleshooting assistance with the deployment of Falcon's AI-powered detection and response capabilities
  2. Assist customers in optimizing AI-driven threat detection models and automated response workflows
  3. Configure and tune machine learning algorithms to reduce false positives while maintaining high detection efficacy
  4. Develop and implement AI-driven automation playbooks for security operations
  5. Troubleshoot AI-related customer issues across small to large enterprises

Skills

Required

  • Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related discipline, and 8 years of experience performing IT deployments or in an end user/customer environment
  • Strong understanding of AI and machine learning concepts, particularly in cybersecurity applications
  • Strong understanding of software deployment technologies
  • Very knowledgeable on Windows, Mac, and Linux platforms
  • Experience with AI-powered security tools and platforms
  • Knowledge of data science principles and their application to security operations
  • Experience with security automation and orchestration platforms
  • Strong knowledge of Microsoft Office applications
  • Skillful communication and effective ability to build collaborative relationships
  • Strong experience presenting technical AI content to various audiences
  • Strong experience in computer and network systems security
  • Solid analytical/problem solving skills with capability to identify solutions to unusual and complex problems
  • Proactive and thorough ability to manage work and prioritize customer projects
  • Experience mentoring team members
  • Some experience leading a team to complete projects
  • High level of motivation; self-starter; results driven

Nice to have

  • Endpoint Security: Falcon platform (preferred), AV, and EDR solutions
  • AI/ML Technologies: Experience with machine learning models, natural language processing, anomaly detection, writing prompts
  • Programming for AI: Python, R, or similar languages for data analysis and model development, working with agents and/or building agents
  • Operating Systems: Windows, Linux, Mac
  • Software Deployment: SCCM, Group Policy, McAfee EPO, IBM BigFix, Puppet, Chef, Citrix, PDQ, PsExec
  • Development: PowerShell, Python, Bash, Batch
  • Technologies: Experience with Host based firewall, File Integrity Management, Data Protection, Vulnerability Management, Attack Surface Management, IT Automation
  • Compliance: CIS Benchmarks, STIGs, PCI, HIPPA
  • Database: SIEM, MSSQL, Splunk, LogScale
  • Identity: Identity, Active Directory, Azure-AD, SSO
  • Cloud: AWS, Azure, and GCP

What the JD emphasized

  • AI for Detection and Response
  • AI and Machine Learning technologies
  • AI-powered detection and response capabilities
  • AI-driven threat detection models
  • machine learning algorithms
  • AI-driven automation playbooks
  • AI-related customer issues
  • AI capabilities
  • AI-generated alerts
  • AI capabilities
  • AI capabilities
  • AI-powered threat hunting
  • AI skills workshops
  • AI collateral
  • AI and machine learning concepts
  • AI-powered security tools
  • AI/ML Technologies
  • working with agents and/or building agents

Other signals

  • AI/ML for cybersecurity
  • deployment and implementation of AI capabilities
  • optimizing AI-driven threat detection
  • configuring and tuning ML algorithms
  • developing AI-driven automation playbooks
  • scripting and application solutions using Falcon APIs to enhance AI capabilities
  • interpreting AI-generated alerts
  • AI-powered threat hunting