AI OPS Engineer

GES is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems.

Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams. You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure.

Primary Responsibilities

• Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams toestablishunified telemetry pipelines.
  ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules.
• Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness.
• Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs toprovidea holistic view of enterprise health.
• Advanced ML Development: Deploy custom machine learning models via Splunk MLTK toidentifyanomalous behavior, potential cyber threats, and infrastructure degradations.
• Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices.
• Incident Reduction:UtilizeIT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts.
• Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO).
• Compliance & Documentation: Ensure all observability toolscomply withDoWSTIGs and IL5/IL6 protocols; develop andmaintainarchitectural documentation and compliance traceability.
• Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems.

Required Qualifications

• Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI)requiredat time of hire.
• Certification: Active IAT Level II certification (e.g., Security CE,CySA , GSEC, or SSCP)required.
• Citizenship: United States Citizenship isrequired.
• Platform Experience: 7 years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
• AIOps & ITSM: 3 years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
• Machine Learning: Proventrack recordof building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
• Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
  Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.
• Operational Experience: Prior experience working within aDoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
• Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards forapprovals.

Desired Qualifications

• Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter.
• Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
• Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).
• RMF/ATO Knowledge:Understanding ofthe Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.

Salary : $160,000 - $175,000