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Aiops Engineer Salary Jobs (NOW HIRING)

Senior AI OPS Engineer

Arlington, VA · On-site

$150 - $174/hr

Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network ... Salary The general salary range for this position is $150,000 - $174,000. Commitment to ...

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

This is your opportunity to deepen your experience in AIOps and help solve the Army toughest ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

This is your opportunity to deepen your experience in AIOps and help solve the Army toughest ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

This is your opportunity to deepen your experience in AIOps and help solve the Army toughest ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

DevOps Engineer

Fort Belvoir, VA · On-site +1

$77K - $176K/yr

This is your opportunity to deepen your experience in AIOps and help solve the Army toughest ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Sr Lead Engineer Cloud

Frisco, TX · On-site

$141K - $185K/yr

Hands-on experience applying AI and automation to cloud platform operations, such as AIOps ... In addition to base salary, the competitive compensation package may include, depending on the role ...

Sr Lead Engineer Cloud

Charlotte, NC · On-site

$141K - $185K/yr

Hands-on experience applying AI and automation to cloud platform operations, such as AIOps ... In addition to base salary, the competitive compensation package may include, depending on the role ...

Sr Lead Engineer Cloud

Iselin, NJ · On-site

$141K - $185K/yr

Hands-on experience applying AI and automation to cloud platform operations, such as AIOps ... In addition to base salary, the competitive compensation package may include, depending on the role ...

Showing results 21-40

Aiops Engineer Salary information

See salary details

$38K

$115.9K

$191.5K

How much do aiops engineer salary jobs pay per year?

As of Sep 6, 2026, the average yearly pay for aiops engineer salary in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the average salary for an AIOps engineer?

The average salary for an AIOps Engineer varies depending on location, experience, and company size, but typically ranges from $110,000 to $160,000 per year in the United States. Salaries may be higher in major tech hubs and for individuals with advanced skills in AI, machine learning, and automation. In addition to base pay, many AIOps Engineers receive bonuses, stock options, and other benefits, which can increase their total compensation.

What are the key skills and qualifications needed to thrive as an AIOps engineer?

To thrive as an AIOps Engineer, you need expertise in IT operations, machine learning, data analysis, and a solid understanding of cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Splunk, Datadog, Elasticsearch, and scripting languages such as Python is often required, as well as certifications like AWS Certified Solutions Architect or Google Cloud Professional. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These skills enable AIOps Engineers to automate processes, quickly resolve incidents, and drive operational efficiency in complex IT environments.

What are the typical career advancement opportunities for an AIOps engineer within an organization?

AIOps Engineers often start by managing and optimizing IT operations using artificial intelligence and machine learning tools. As they gain experience, they can advance to senior engineering roles, lead AIOps teams, or transition into related positions such as Site Reliability Engineer (SRE) or DevOps Architect. Many organizations also offer paths into technical leadership, including roles like AIOps Manager or Director of IT Operations, where professionals oversee strategic implementation of automation and analytics across the enterprise. Continuous learning and upskilling in AI, cloud, and automation are key to progressing in this field.

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

AspectAiops Engineer SalaryData Engineer Salary
Required CredentialsCertifications in cloud platforms, scripting, and AI/MLCertifications in SQL, cloud platforms, and data warehousing
Work EnvironmentIT operations, cloud environments, AI/ML toolsData pipelines, database management, cloud platforms
Employer & Industry UsageTech companies, cloud service providers, AI firmsTech companies, finance, healthcare, data-driven industries

While both roles require cloud and scripting skills, Aiops Engineers focus on automating IT operations using AI, whereas Data Engineers build data pipelines and manage large datasets. Salary differences depend on experience and industry but generally, Aiops Engineers tend to earn slightly higher due to specialized AI skills.

What does an Aiops engineer do?

An AIOps engineer designs and implements AI-driven solutions to monitor, analyze, and automate IT operations, helping to detect and resolve issues proactively. They work with tools like machine learning algorithms, data analytics platforms, and automation scripts to improve system reliability and performance.
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Infographic showing various Aiops Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Principal AI/ML Engineer (Cybersecurity & AIOps)

Ford Motor Company

Dearborn, MI • On-site

$132K - $250K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

The Principal Engineer - AIOps role at EPEO requires 8+ years of experience in AI/ML and software engineering with strong skills in Python, SQL, and cloud platforms. This position focuses on designing and deploying advanced AI/ML solutions for Security (Cyber & Identity Management) , network analytics, enterprise risk detection and thus strengthening the security posture across Ford skill teams such as ET , Credit , Ford Pro ,AV , EV , Industrial systems ,Ford PDO's etc. As a Principal AI Engineer, you will serve as a strategic technical leader responsible for the vision, architecture, and execution of AI/ML initiatives across the enterprise.

You will bridge the gap between complex data science and mission-critical security operations, designing intelligent systems that detect risks, optimize network performance, and automate threat response. This is a high-impact leadership role requiring a blend of hands-on engineering excellence, architectural oversight, and the ability to influence cross-functional stakeholders. Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity, network analytics, and enterprise risk detection.

Build and operationalize machine learning models, including anomaly detection, predictive analytics, and classification systems for security and network use cases. Drive the implementation of Generative AI and Agentic AI solutions to enhance automation, threat intelligence, and decision-making workflows. Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization and risk mitigation.

Architect end-to-end ML pipelines, ensuring scalability, reliability, and integration with enterprise systems. Work hands-on with data-ingestion, preprocessing, feature engineering, and model tuning-to deliver production-grade solutions. Translate complex technical outcomes into business insights using dashboards and visualizations (e.g., Power BI) for stakeholders and leadership

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field 8+ years of experience in software engineering, data science, or AI/ML solution delivery Proven experience in designing, building, and deploying scalable AI/ML solutions in enterprise environments Strong programming skills in Python and proficiency in SQL Hands-on experience in machine learning model development, evaluation, and deployment Working knowledge of cybersecurity concepts, network architectures, and Identity & Access Management (IAM) Experience with data visualization tools such as Power BI (or equivalent) Familiarity with Agile tools such as JIRA Exposure to cloud platforms (Azure, AWS, or GCP) and MLOps practices Strong problem-solving, stakeholder management, and communication skills You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply. As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home.

Will your career be a deep dive into what you love, or a series of new teams and new skills. Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above. No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time

This position is leadership level 6 and ranges from $132,800-$250,800. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: https://fordcareers.co/LL6 Visa sponsorship is available for this position

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. This position is hybrid.

Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-GR1


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