# AI Ops Engineer

**Company**: Hewlett Packard Enterprise
**Location**: San Juan, Puerto Rico
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Juan-Puerto-Rico-Puerto-Rico/AI-Ops-Engineer_1212264-4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ab5ccb45-31a

## Description

We are seeking an experienced AI Ops Engineer to join our team in San Juan, Puerto Rico. As a Hybrid role, you will work on average 2 days per week from an HPE office.

**Job Summary:** Design and maintain intelligent monitoring and incident response workflows across both cloud and on-premises systems. Build and optimize data pipelines to collect, normalize, and enrich logs, metrics, and events for operational analytics. Develop and deploy predictive models to detect anomalies, forecast outages, and reduce mean time to resolution. Automate remediation runbooks and integrate alerting with service management platforms to enhance system reliability. Collaborate with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.

**Responsibilities:**

- Design and maintain intelligent monitoring and incident response workflows across cloud and on-premises systems.

- Build and optimize data pipelines for operational analytics.

- Develop and deploy predictive models to detect anomalies and forecast outages.

- Automate remediation runbooks and integrate alerting with service management platforms.

- Collaborate with cross-functional teams to improve platform performance and reliability.

**Requirements:**

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 5-8 years of experience in IT operations, reliability engineering, platform engineering, or AI-driven operations and automation.

- Proficiency in Python for automation, data processing, and operational tooling.

- Experience with observability platforms such as Splunk, Datadog, Prometheus, or Grafana.

- Familiarity with cloud platform operations (Azure, AWS, or Google Cloud) is preferred.

- Knowledge of machine learning model lifecycle management and deployment is advantageous.

- Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty, or Rundeck is beneficial.

**What We Offer:**

- Competitive salary

- Comprehensive health and wellbeing benefits

- Personal and professional development opportunities

- Unconditional inclusion and flexible work arrangements

## Skills

### Required
- Python
- Splunk
- Datadog
- Prometheus
- Grafana
- cloud platform operations
- machine learning model lifecycle management
- IT service management
- workflow orchestration

### Nice to have
- Azure
- AWS
- Google Cloud
- ServiceNow
- PagerDuty
- Rundeck

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Juan-Puerto-Rico-Puerto-Rico/AI-Ops-Engineer_1212264-4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)