BMC Helix AI Ops

About the Role

AIOps Platform Expertise

In-depth hands-on experience with BMC Helix AIOps – including Situation Management, Root Cause Analysis, Noise Reduction, and Impact Service Modeling.

Responsibilities

Expertise in Service Blueprints – defining business service topology with impact weightage and dependency mapping.

Ability to design and optimize AIOps correlation policies using ML-based event correlation and situation scoring.

Deep understanding of BHOM (BMC Helix Operations Management) modules, data pipelines, and event ingestion architecture.

Experience in defining custom ML models or using BMC Helix GPT or Cognitive Services for automated event resolution or best action recommendations.

Qualifications

Deep knowledge of cross-platform integrations between BHOM and multiple monitoring tools (e.g., SolarWinds, AppDynamics, Azure Monitor, Splunk).

Experience with event and metric ingestion pipelines (Kafka, REST APIs, webhook configurations).

Designing and implementing auto-remediation workflows using BMC Helix Automation, Runbooks, or third-party automation tools (Ansible, Jenkins, etc.).

Hands-on experience integrating AIOps with ITSM (Incident creation, assignment, resolution automation).

Ability to define AIOps operational playbooks for Level 1 and Level 2 operations teams.

Required Skills

In-depth hands-on experience with BMC Helix AIOps.

Expertise in Service Blueprints.

Ability to design and optimize AIOps correlation policies.

Deep understanding of BHOM modules and data pipelines.

Experience with custom ML models and BMC Helix GPT.

Preferred Skills

Knowledge of cross-platform integrations.

Experience with event and metric ingestion pipelines.

Designing auto-remediation workflows.

Integrating AIOps with ITSM.

Defining AIOps operational playbooks.