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AI Ops Technical Leader

3 weeks 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
Apply Now
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 82

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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