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Intern Aiops Engineer Salary Jobs (NOW HIRING)

Govcio LLC

AIOps Engineer

Arlington, VA · On-site

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... Posted Salary Range USD $220,000.00 - USD $240,000.00 /Yr.

TIAA

Technical Lead - AI OPs

Frisco, TX · On-site

$130K - $154K/yr

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... In addition to base salary, the competitive compensation package may include, depending on the role ...

TIAA

Technical Lead - AI OPs

Charlotte, NC · On-site

$130K - $154K/yr

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... In addition to base salary, the competitive compensation package may include, depending on the role ...

TIAA

Technical Lead - AI OPs

Iselin, NJ · On-site

$130K - $154K/yr

You will lead a team of high-performing Site Reliability and AIOps engineers, guiding them through ... In addition to base salary, the competitive compensation package may include, depending on the role ...

Loricus, Inc.

Support Engineer Intern

Independence, OH · On-site

Salary: ****Looking for local candidates. This is not a development/programming position. It does ... The support engineer intern will also assist the Infrastructure Engineering team as needed for ...

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How much do intern aiops engineer salary jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for intern aiops engineer salary in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AIOps Engineer Intern, and why are they important?

To thrive as an AIOps Engineer Intern, you need a solid understanding of computer science principles, data analysis, and knowledge of IT operations, often supported by coursework or a degree in computer science, IT, or a related field. Familiarity with programming languages like Python, cloud platforms (such as AWS or Azure), and monitoring tools like Splunk or Datadog is commonly required. Strong problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with cross-functional teams. These skills and qualities are essential for addressing complex operational issues and supporting automated IT processes in fast-evolving environments.

What types of projects and responsibilities can an Intern AIOps Engineer expect to be involved with during their internship?

As an Intern AIOps Engineer, you can expect to work on projects focused on automating IT operations using artificial intelligence and machine learning. Typical responsibilities might include assisting with monitoring system performance, analyzing large sets of operational data, developing scripts for automation, and supporting the deployment of AIOps solutions. Interns often collaborate closely with senior engineers and DevOps teams, gaining hands-on experience with popular tools and cloud platforms. This exposure not only enhances technical skills but also provides valuable insight into best practices in IT operations and incident management.

What is the difference between Intern Aiops Engineer Salary vs Intern Data Engineer Salary?

AspectIntern Aiops Engineer SalaryIntern Data Engineer Salary
Required CredentialsBasic knowledge of AI operations, cloud platforms, scriptingBasic programming, database, and data pipeline knowledge
Work EnvironmentTech companies, cloud service providers, AI-focused firmsData-driven companies, tech firms, analytics departments
Employer & Industry UsageCommon in AI and cloud operations teamsCommon in data management and analytics teams

Intern Aiops Engineer salaries tend to be slightly higher than Intern Data Engineer salaries due to the specialized nature of AI operations and cloud integration skills required. Both roles are entry-level internships in tech environments, but Aiops roles often involve more focus on automation and cloud platforms, influencing salary differences.

What is the average salary for an Intern AIOps Engineer?

The average salary for an Intern AIOps Engineer in the United States typically ranges from $20 to $40 per hour, depending on the company, location, and the candidate’s level of education and experience. In major tech hubs or large organizations, the compensation may be higher. Some internships also offer additional benefits such as housing stipends, transportation allowances, or opportunities for full-time employment after the internship. Salaries can vary widely, so it is important to research specific companies and regions for the most accurate information.
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Intern Aiops Engineer Salary jobs near you
Infographic showing various Intern Aiops Engineer Salary job openings in the United States as of July 2026, with employment types broken down into 9% As Needed, 55% Full Time, 3% Contract, and 33% Nights. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
AIOps Engineer

AIOps Engineer

Govcio LLC

Arlington, VA • On-site

$220K - $240K/yr

Full-time

Posted 3 days ago

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

112th of 230 rated it services

Job description

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement artificial intelligence and automation capabilities within IT operations to improve monitoring, incident response, predictive analytics, and system reliability. This role is based in Arlington, VA, as a hybrid/remote position.
Responsibilities
Responsibilities:
  • Deploy AI-driven monitoring and operational intelligence solutions.
  • Develop automation for incident detection, response, and remediation.
  • Analyze operational data to identify patterns and predict failures.
  • Implement event correlation and anomaly detection.
  • Integrate AI tools with ITSM platforms.
  • Reduce alert fatigue through intelligent automation.
  • Build dashboards and operational analytics.
  • Improve system availability and performance through AI insights.

Qualifications
Qualifications:
Bachelor's with 12+ years of infrastructure/cloud engineering experience (or commensurate experience)
Required Skills and Experience:
  • 5-10 years of hands-on experience in IT operations and cloud environments
  • Proficiency with AIOps platforms for automating IT operations
  • Strong understanding of machine learning concepts and their applications in IT
  • Experience using observability tools such as Splunk, Datadog, Dynatrace, and New Relic
  • Expertise in ServiceNow ITOM for IT operations management
  • Advanced Python scripting skills for automation and data processing
  • Proven ability in data analytics to drive operational insights
  • Solid knowledge of cloud operations and best practices and automation frameworks

Preferred Skills and Experience:
  • AI/ML certifications preferred
  • Cloud certifications
  • ITIL Foundation
  • Splunk/Dynatrace certifications beneficial

Clearance Required: Must have an active Secret clearance and be able to attain DEA suitability.
Posted Salary Range
USD $220,000.00 - USD $240,000.00 /Yr.

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