AI Ops Technical Leader

🕒 February 12

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Hands-on Data & AI Solutions for Operations Support • Lead and contribute to high-impact data and AI initiatives that improve operations support outcomes, including real-time incident enrichment, automated root‑cause analysis, predictive alerting, ticket clustering and auto-triage, change risk scoring, knowledge mining, and intelligent runbooks. • Design and deliver scalable AI-enabled features embedded into operations support platforms such as ServiceNow, Jira Service Management, monitoring/observability tools, and ITSM systems. • Ensure all solutions meet strict operational SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment. • Stay up to date with emerging AIOps tools, research, and trends, and apply them to enhance operations support. • Lead the architecture, development, and continuous improvement of internal AIOps platforms and reusable components supporting operations teams. • Integrate AIOps tools with ITSM systems, observability platforms (Prometheus, Grafana, ELK, Dynatrace, Splunk), ticketing systems, and automation frameworks. • Serve as the principal AI technical authority for operations support transformation programs across service operations, NOC, support desks, infrastructure operations, and reliability engineering. • Build, mentor, and lead a high-performing squad of AIOps specialists focused on measurable operations support improvements.

🎯 Requirements

• Strong background in data engineering, AI/ML, or operations support technology, including technical leadership in operations, IT, or service environments. • Proven track record 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/TensorFlow, LLMs, and integrations with tools like ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, Big Panda, 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 and internal tooling platforms. • Familiarity with ITIL processes (incident, problem, change, service request, knowledge management). • Experience with GenAI/LLM applications for operations such as copilots, auto-remediation, knowledge search, and alert/incident summarization. • Proven ability to scale AIOps in large operations or NOC environments while balancing hands-on work with strategy. • Strong communication skills, able to translate complex AI concepts for operations teams and executives, focusing on action and automation to reduce operational toil.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events