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Aiops Engineer Jobs (NOW HIRING)

Bellwether Enterprise

AI Engineer

Columbus, OH · On-site

Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services. * Participate in rapid prototyping and proof-of-concept development to ...

Bellwether Enterprise

AI Engineer

Cleveland, OH · On-site

Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services. * Participate in rapid prototyping and proof-of-concept development to ...

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Aiops Engineer information

What is the salary of AIOps engineer?

The salary of an AIOps engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and the size of the organization. Professionals with advanced skills in machine learning, automation tools, and cloud platforms may earn higher compensation.

What are some typical responsibilities and challenges faced by Aiops Engineers on a daily basis?

Aiops Engineers are responsible for designing and implementing automation solutions that monitor and manage IT infrastructure, troubleshoot complex issues, and optimize processes using AI and machine learning techniques. A typical day may involve collaborating with developers, DevOps teams, and IT managers to analyze incidents, reduce false positives, and automate repetitive tasks. Common challenges include integrating diverse monitoring tools, maintaining system reliability in dynamic environments, and ensuring scalability of automation frameworks. Working in this role often means adapting quickly to new technologies and rapidly evolving operational landscapes, which helps build valuable expertise and career growth opportunities.

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

To thrive as an Aiops Engineer, you need expertise in IT operations, automation, data analytics, and machine learning, often supported by a degree in computer science or a related field. Proficiency with tools like Kubernetes, Prometheus, Splunk, and cloud platforms, as well as certifications in DevOps or cloud administration, is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are important soft skills in this field. These skills ensure smooth deployment and maintenance of AI-driven operational solutions, leading to enhanced system reliability and efficiency.

What does an AIOps Engineer do?

An AIOps Engineer focuses on applying artificial intelligence (AI) and machine learning (ML) to IT operations. They develop and implement algorithms to automate monitoring, anomaly detection, and incident resolution, improving system reliability and performance. Their work involves analyzing vast amounts of data from IT environments to predict issues and optimize workflows. AIOps Engineers collaborate with DevOps and IT teams to enhance operational efficiency and reduce downtime.

Is AIOps a good career?

AIOps engineering is a growing field that involves using artificial intelligence and machine learning to automate IT operations and improve system reliability. It requires skills in data analysis, scripting, and familiarity with tools like ML frameworks and monitoring platforms. The role offers opportunities in various industries, with increasing demand for professionals who can manage complex, automated IT environments.

What engineer makes 500,000 a year?

An AIOps Engineer can earn $500,000 annually, especially with extensive experience, advanced skills in automation, cloud platforms, and data analysis, and working in high-demand industries or senior leadership roles. Such compensation often includes bonuses, stock options, or other incentives for top-tier professionals in the field.

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 architect, senior machine learning engineer, or AI director, often requiring advanced skills, extensive experience, and sometimes executive responsibilities. These roles may involve leading AI projects, developing innovative algorithms, and working with complex data systems, often offering compensation in this high range due to the expertise required.
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Aiops Engineer jobs near you
Infographic showing various Aiops Engineer job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

AI Engineer

Bellwether Enterprise

Columbus, OH • On-site

Full-time

Re-posted 14 days ago

Job description

You turn possibility into production. As an AI Engineer at BWE, you design, build, and refine the tools that bring artificial intelligence into daily business workflows. From LLM-powered copilots to custom integrations and automation, your work helps scale innovation responsibly and reliably. We count on you to make AI real-usable, efficient, and aligned with how we work.

Responsibilities:

  • Develop and deploy AI applications and integrations using Azure AI services, LLM APIs, Microsoft Power Platform, and third-party AI tools that enhance business productivity.

  • Fine-tune and customize AI models to improve accuracy, relevance, and performance for specific business use cases across origination, closing, and servicing workflows.

  • Monitor and optimize performance of AI systems, ensuring quality, responsiveness, and cost efficiency in production environments.

  • Collaborate with AI Solutions Architect, Business Partners, and end users to understand workflows and deliver usable, intuitive AI-powered tools.

  • Contribute to AI governance frameworks, documentation, and continuous learning around responsible AI use and best practices.

  • Support citizen developers by creating AI components, templates, and integrations that enable business users to build AI-enhanced solutions.

  • Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services.

  • Participate in rapid prototyping and proof-of-concept development to validate AI use cases and technical feasibility.

  • Implement security and compliance controls for AI applications ensuring adherence to financial services regulations and data privacy requirements.

  • Research and experiment with emerging AI technologies and techniques to enhance BWE's AI capabilities and competitive advantage.

  • Maintain and update AI application code, deployment pipelines, and integration frameworks as technologies evolve.

  • Provide technical support and troubleshooting for deployed AI solutions across business functions.

Minimum Qualifications:

  • 3-5 years of experience in AI/ML engineering, automation, software development, or related technical roles.

  • Proficiency with Python and experience working with APIs, Large Language Models (LLMs), and cloud-based AI services.

  • Strong familiarity with Microsoft ecosystem including Azure AI, Power Automate, Power Apps, and Copilot platforms.

  • Experience with AI model deployment, monitoring, and optimization in production environments.

  • Knowledge of software development best practices including version control, testing, and deployment automation.

  • Understanding of data processing, ETL workflows, and integration with enterprise systems.

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.

  • Ability to balance experimentation and innovation with structured, scalable deployment practices.

Preferred Qualifications:

  • Experience with multiple AI platforms beyond Microsoft ecosystem (OpenAI, AWS AI, Google Cloud AI).

  • Knowledge of AI model fine-tuning, training, and optimization techniques for enterprise applications.

  • Familiarity with DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines for AI applications.

  • Experience in CRE, financial services, or regulated industries with compliance and security requirements.

  • Understanding of AI governance, model risk management, and responsible AI deployment practices.

  • Knowledge of natural language processing, computer vision, or other specialized AI domains.

  • Experience supporting citizen development initiatives and low-code/no-code platform development.

We encourage you to explore the career opportunities we have available here at BWE!

Apply