AI Ops Engineer

About the role

Hewlett Packard Enterprise is hiring an AI Ops Engineer in San Juan, Puerto Rico. The role is hybrid, with an average of 2 days per week spent in an HPE office. The position sits within the engineering job family, applying specialized expertise to resolve technical challenges and guide junior professionals.

Key responsibilities

• Design and maintain intelligent monitoring and incident response workflows across cloud and on-premises systems.
• Build and optimize data pipelines that 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.
• Work with DevOps, Site Reliability and security teams to improve platform performance, availability and operational governance.

Required profile

• 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.
• Relocation support is provided for eligible candidates.

Required skills

• Python for automation, data processing and operational tooling (required).
• Observability platforms such as Splunk, Datadog, Prometheus or Grafana (required).
• Familiarity with Azure, AWS or Google Cloud operations (preferred).
• Knowledge of machine learning model lifecycle management and deployment (advantageous).
• Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty or Rundeck (beneficial).

What we offer

• Benefits supporting physical, financial and emotional wellbeing for employees and their loved ones.
• Programs for personal and professional development.
• An inclusive workplace with flexibility to manage work and personal needs.