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JCS Solutions LLC

Senior AI OPS Engineer

arlington, VA

Check who can apply and the requirements below before continuing.

About this opportunity

JCS Solutions LLC lists this Senior AI OPS Engineer opportunity in arlington, Virginia. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Job Summary

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.

Benefits

Join a premier technology firm specializing in innovative solutions.

Be part of a collaborative, inclusive, and innovative work culture.

Enjoy tremendous growth potential in a high-performing team environment.

A robust benefits package: Health, dental, and vision insurance

Life insurance

Short-and-long term disability

Paid time off (PTO)

401k retirement plan with employer match

Annual Professional Development Reimbursement Program

And more!

Responsibilities

Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines.

Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules.

Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real‑time situational awareness.

Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health.

Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations.

Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices.

Utilize IT Service Intelligence (ITSI) to correlate multi‑source events, reducing noise and prioritizing high‑impact mission alerts.

Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO).

Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability.

Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems.

Qualifications

Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance required at time of hire.

Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.

United States citizenship.

7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced SPL.

3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.

Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.

Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).

Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.

Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission‑critical systems and networks.

Ability to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.

Preferred Qualifications

Experience aggregating and correlating telemetry from SolarWinds, ServiceNow, and VMware vCenter.

Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.

Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi‑cloud environments (Azure/AWS).

Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.

Salary

The general salary range for this position is $150,000 - $174,000.

Commitment to non‑discrimination

All qualified applicants will receive consideration for employment without regard to any status protected by applicable federal, state, or local laws.

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Worksite address

arlington, VA, 22201, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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