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Aiops Manager Jobs (NOW HIRING)

AIOps Engineer

Fort Belvoir, VA · On-site

$190K - $218K/yr

Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network ... Management and Incident Management modules. * Mission-Critical Observability: Architect and ...

ServiceNow AIOPS Developer

$55.25 - $76/hr

Event Management, Health Log Analytics (HLA), Agent client collector implementation and Metric ... AIOps architecture, data flows, dashboards, and service health models. • Configure alert rules ...

Senior Product Manager - AIOps

Durham, NC · On-site

$122K - $161K/yr

NVIDIA is seeking a Senior Product Manager to help shape and deliver NVIDIA's AIOps software product for AI Factories. In this role, you will work closely with engineering, sales, and marketing to ...

Senior Product Manager - AIOps

Santa Clara, CA · On-site

$148K - $196K/yr

NVIDIA is seeking a Senior Product Manager to help shape and deliver NVIDIA's AIOps software product for AI Factories. In this role, you will work closely with engineering, sales, and marketing to ...

Senior Product Manager - AIOps

Durham, NC · On-site

$122K - $161K/yr

NVIDIA AI is seeking a Senior Product Manager to help shape and deliver their AIOps software product for AI Factories. The role involves working closely with engineering, sales, and marketing to ...

Senior AIOps ML Engineer

Woodland Hills, CA · On-site

$110K - $151K/yr

Own the ML feature store, managing feature engineering, versioning, backfill pipelines, and point ... Integrate AIOps insights with incident management platforms (PagerDuty, Opsgenie) and internal ...

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SRE AIops Engineer (AWS)

Irvine, CA · On-site

$61.25 - $81.25/hr

Manage, optimize, and scale Amazon EKS clusters ensuring high availability and cost efficiency. * Implement and tune AIOps solutions using AWS DevOps Guru and Amazon Lookout for Metrics. * Identify ...

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Aiops Manager information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI executive, senior data scientist, or AI solutions architect, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles may involve overseeing AI strategy, developing complex models, or managing large teams, and they usually offer compensation packages including salary, bonuses, and stock options. These positions are rare and usually found in large tech companies or organizations heavily investing in AI innovation.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or AI/ML engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is AIOps a good career?

AIOps managers oversee the integration of artificial intelligence and machine learning to automate IT operations, requiring skills in data analysis, automation tools, and cloud platforms. The role is in demand as organizations seek to improve efficiency and reduce downtime, offering opportunities for career growth and specialization in a rapidly evolving field.

What is the salary of AIOps specialist?

The salary of an AIOps specialist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in machine learning and automation can earn higher salaries. Compensation may also include bonuses and benefits based on the organization.
More about Aiops Manager jobs
What cities are hiring for Aiops Manager jobs? Cities with the most Aiops Manager job openings:
What are the most commonly searched types of Aiops jobs? The most popular types of Aiops jobs are:
What states have the most Aiops Manager jobs? States with the most job openings for Aiops Manager jobs include:
Infographic showing various Aiops Manager job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution.

AIOps Engineer

Career Listings

Fort Belvoir, VA • On-site

$190K - $218K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Profit sharing
  • Training & development
  • Tuition assistance
  • Vision insurance

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 to establish unified 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 to provide a holistic view of enterprise health.
  • Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous 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: Utilize IT 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 tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural 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) required at time of hire.
  • Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.
  • Citizenship: United States Citizenship is required.
  • 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: Proven track record of 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 a DoW/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 for approvals.
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 of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.