1

Aiops Jobs (NOW HIRING)

Senior Engineer, AIOps

Miami, FL

$100K - $137.30K/yr

Position Summary The Senior Engineer, AIOps serves as a technical anchor for the reliability, scalability, and continuous improvement of Royal Caribbean Group's enterprise AI, Generative AI (GenAI ...

Senior Engineer, AIOps

Miami, FL · On-site

$100K - $137.30K/yr

Position Summary The Senior Engineer, AIOps serves as a technical anchor for the reliability, scalability, and continuous improvement of Royal Caribbean Group's enterprise AI, Generative AI (GenAI ...

MLOps Lead Engineer

Plano, TX · On-site

$95.80K - $126.20K/yr

Design and deploy AIOps solutions and automation pipelines to proactively detect, diagnose, and resolve incidents; reduce MTTD/MTTR, prevent recurrences * Identify and systematically eliminate ...

You will own the AIOps vision, strategy, and roadmap, partnering with the in-house Observability platform owner to leverage infrastructure and data for accurate, correlated insights that streamline ...

Senior AIOps Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

AIOps Sr Engineer JD Implementation experience with ServiceNow ITOM, Ansible and Dynatrace tools. Technical leadership of the delivery team. End to end responsibility for identifying use cases ...

next page

Showing results 1-20

Aiops information

What is an AIOps job?

An AIOps job involves using artificial intelligence and machine learning to enhance IT operations by automating processes, analyzing vast amounts of data, and identifying patterns to prevent issues. AIOps professionals work with tools that help in real-time monitoring, anomaly detection, and incident response to improve system reliability and efficiency. They collaborate with IT teams to reduce downtime, improve performance, and streamline operations.

What are the key skills and qualifications needed to thrive in the Aiops position, and why are they important?

To thrive in an AIOps role, you need a strong background in IT operations, data analytics, and automation technology, often supported by a degree in computer science or a related field. Familiarity with monitoring tools like Splunk, ELK Stack, and AI/ML platforms, as well as certifications in cloud platforms or DevOps practices, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are essential for collaborating with cross-functional teams. These competencies enable AIOps professionals to effectively predict, identify, and resolve IT issues rapidly, ensuring seamless and efficient system operations.

What are the typical day-to-day responsibilities of someone working in an AIOps position?

In an AIOps role, your primary responsibilities include monitoring IT infrastructure, analyzing large volumes of system data, and proactively automating responses to incidents using machine learning models and advanced analytics. You will collaborate closely with IT, DevOps, and cybersecurity teams to detect anomalies, optimize system performance, and reduce downtime. Troubleshooting and refining automation scripts are part of the daily workflow, along with participating in incident response and post-mortem analysis. This role requires continual learning, as you will regularly implement new tools and processes to stay ahead of emerging technology trends and operational challenges.

What job makes $10,000 a month without a degree?

AIOps professionals can potentially earn $10,000 or more per month by managing and automating IT operations using AI and machine learning tools. Success in this field depends on experience, technical skills, and certifications, with some roles offering high salaries without requiring a formal degree.
What cities are hiring for Aiops jobs? Cities with the most Aiops 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 jobs? States with the most job openings for Aiops jobs include:
What job categories do people searching Aiops jobs look for? The top searched job categories for Aiops jobs are:
Infographic showing various Aiops job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

$100K - $137.30K/yr

Other

Posted yesterday


Job description

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

We are proud to be the vacation-industry leader with global brands - including Royal Caribbean International, Celebrity Cruises and Silversea Cruises - the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

The Royal Caribbean Group's AI & Analytics Team has an exciting career opportunity for a full time Senior Engineer, AIOps reporting to the Senior Manager, Data Intelligence Operations.

The position is onsite and based in Miramar, Florida. 

The position is also not eligible for work authorization sponsorship.

Position Summary

The Senior Engineer, AIOps serves as a technical anchor for the reliability, scalability, and continuous improvement of Royal Caribbean Group's enterprise AI, Generative AI (GenAI), and modern data platforms. This senior-level role leads incident response, drives operational maturity, mentors junior team members, and partners with platform engineering and data science teams to shape how AI and data systems are built, deployed, and maintained at scale. The ideal candidate brings deep expertise in Microsoft Azure and Databricks, strong command of LLM and GenAI tooling, and the judgment to make sound architectural and operational decisions independently.

Essential Duties and Responsibilities

  • Leads the operational health and reliability of enterprise AI, GenAI, and data platforms, ensuring high availability and performance.
  • Serves as the senior technical escalation point for L2/L3 production issues across AI and GenAI-enabled applications, including LLM-based services and RAG pipelines.
  • Designs and owns observability strategies for AI platform health, covering availability, latency, throughput, cost attribution, and model behavior drift.
  • Leads root cause analysis for complex AI inference failures and drives permanent remediation across engineering and product teams.
  • Evaluates, onboards, and operationalizes new GenAI capabilities, including Azure OpenAI Service, Foundation Model APIs, and vector store solutions.
  • Defines operational standards, SLAs, and runbooks for AI platform services, championing a proactive operations culture.
  • Builds and operates AIOps pipelines that leverage GenAI to analyze incidents, identify failure causes, and recommend remediation actions.
  • Integrates AIOps insights into CI/CD pipelines, validating deployments against known failure patterns and implementing AI-driven quality gates.
  • Owns the operational health of enterprise data platforms built on Azure and Databricks, including governance, table management, and job orchestration.
  • Leads cloud cost governance efforts for Databricks and Azure services, partnering with FinOps to optimize spend.
  • Enforces and continuously improves platform security posture, including RBAC, managed identity, network policies, and secrets management.
  • Leads major incident response for platform outages, produces high-quality RCAs, and drives post-incident improvements.
  • Mentors and guides junior engineers, contributing to hiring, onboarding, and skills development within the AI Ops team.

 

Qualifications, Knowledge and Skills

  • Bachelor's degree in Computer Science, Engineering, or related field required; Master's degree preferred.
  • 7+ years of experience in platform operations, cloud engineering, AI/data platform support, or site reliability engineering in enterprise environments.
  • Deep hands-on experience with Microsoft Azure, including Azure OpenAI Service, Azure AI Search, Azure Data Factory, Azure Monitor, and related data and AI services.
  • Expert-level experience with Databricks, including Unity Catalog administration, cluster and pool management, Delta Lake operations, and job orchestration at scale.
  • Strong command of LLM and GenAI concepts, including inference architectures, RAG pipelines, embeddings, vector databases, and model serving patterns.
  • Proficiency in Python and SQL, with experience automating operational tasks and reviewing pipeline and application code.
  • Demonstrated ability to lead incident response independently, produce high-quality RCAs, and drive cross-functional remediation.
  • Experience with ITSM platforms (ServiceNow preferred) and formal incident and change management processes.
  • Strong communication skills, able to translate complex technical issues into clear, actionable updates for both technical and non-technical stakeholders.
  • Expertise in AI and data platform operations, observability, and incident management.
  • Proficiency in cloud cost optimization and FinOps practices.
  • Experience with CI/CD pipelines, DevOps practices, and automation tools.
  • Strong understanding of platform security, governance, and compliance requirements.
  • Demonstrated ability to mentor and guide junior engineers.
  • Strong organizational, analytical, and problem-solving skills.
  • Ability to foster a culture of operational excellence and continuous improvement.
  • Effective collaborator with cross-functional teams and external partners.

 

 

Agency and Third-Party Submissions: Please note this is a direct search by the Company, and applications through agencies and other third parties will not be accepted, nor will fees be paid for unsolicited resumes. Any unsolicited resumes will be considered the Company's property.

 

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.