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AI Ops Technical Leader

1 hour, 43 minutes ago
Philippines
Full-time
Lead
AI Engineer
DevOps and Infrastructure
Apache Airflow Apache Spark Azure Databricks Datadog Generative AI Grafana Kafka LLM MLOps PagerDuty Prometheus Python PyTorch Splunk TensorFlow
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Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5K-10K
Founded 2008
View All Jobs 83

Description

  • Lead hands-on data and AI initiatives that improve operations support outcomes, including incident enrichment, root-cause analysis, predictive alerting, ticket clustering, auto-triage, and intelligent runbooks.
  • Design and deliver scalable AI-enabled features within operations support platforms such as ServiceNow, Jira Service Management, monitoring tools, and ITSM systems.
  • Ensure solutions meet operational requirements for reliability, low latency, auditability, explainability, and zero-downtime deployment.
  • Lead the architecture, development, and continuous improvement of internal AIOps platforms and reusable components.
  • Integrate AIOps tools with ITSM systems, observability platforms, ticketing systems, and automation frameworks.
  • Apply MLOps and AIOps best practices in production, including model monitoring, drift detection, rollback automation, performance checks, and cost optimization.
  • Serve as the principal AI technical authority for operations support transformation programs across service operations, NOC, support desks, infrastructure operations, and reliability engineering.
  • Lead technical discussions, architecture reviews, proof of concepts, vendor evaluations, and solution selection for AI in operations.
  • Identify, prioritize, and drive high-value AI use cases that reduce MTTR and MTTD, automate L1 triage, predict major incidents, and improve shift handovers and post-mortems.
  • Build, mentor, and lead a high-performing squad of AIOps specialists while providing technical coaching, design/code reviews, and career development guidance.

Requirements

  • Strong background in data engineering, AI/ML, or operations support technology, with technical leadership experience in operations, IT, or service environments.
  • Proven track record of delivering production AI/ML/data solutions that improve MTTR, MTTD, availability, and ticket deflection.
  • Hands-on expertise with Python, Spark, Kafka, Airflow, cloud data platforms, PyTorch or TensorFlow, and LLMs.
  • Experience integrating with ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, BigPanda, Databricks, and Azure/ADF.
  • Deep knowledge of AIOps practices including event correlation, anomaly detection, predictive analytics, automated actions, and GenAI for operations.
  • Experience designing, building, or enhancing AIOps platforms and internal tooling.
  • Familiarity with ITIL processes including incident, problem, change, service request, and knowledge management.
  • Experience with GenAI/LLM applications for operations such as copilots, auto-remediation, knowledge search, and alert or incident summarization.
  • Proven ability to scale AIOps in large operations or NOC environments while balancing hands-on execution with strategy.
  • Strong communication skills with the ability to translate complex AI concepts for operations teams and executives.

Interested in this position?

Apply directly on the company website

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