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Lead UEBA and SOAR implementation for Zero Trust, integrate Visibility & Analytics with Automation, provide Tier 3/4 engineering and support, manage RMF/ATO lifecycle and artifacts, interpret DISA STIGs, perform enclave and network assessments, collaborate with ISSOs and SMEs, and improve processes and product quality.

Design, build, fine-tune, and deploy AI/ML models across multi-cloud, multi-platform environments. Preprocess and analyze large datasets, integrate models into production with reliability and scalability, document systems thoroughly, ensure security/compliance for Public Trust, and stay current with AI technologies to recommend adoption.

Lead technical direction and delivery of data science and analytics initiatives. Mentor analysts, develop methodologies, ensure data quality and governance, translate customer requirements into actionable products, coordinate across stakeholders, evaluate emerging technologies, produce executive briefings, and manage roadmaps, KPIs, and continuous improvement.

The AI Engineer will design, build, and operate AI solutions for Federal clients, ensuring platform portability and compliance with federal standards.

Serve as the technical lead for cybersecurity operations focusing on IAM, compliance auditing, platform security, and vulnerability remediation. Mentor engineering staff, perform hands-on IAM operations, Linux/Solaris administration, directory services, and software/system audits. Ensure RMF/NIST/DoD compliance, drive vulnerability management and audit readiness, collaborate across teams, and maintain documentation and SOPs.