Full-Time

Artificial Intelligence Operations Tech Leader

Updated on 9/4/2026

Lingaro

Lingaro

1,001-5,000 employees

Turns data into AI-driven business insights

No salary listed

Remote in India

Remote

Category
AI & Machine Learning (1)
Required Skills
LLM
Datadog
Dynatrace
MLOps
Microsoft Azure
Python
Grafana
Airflow
TensorFlow
ServiceNow
PyTorch
Apache Spark
Machine Learning
Apache Kafka
Data Engineering
Prometheus
Observability
Splunk
Databricks

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Requirements
  • At least 10 years of experience in data engineering, artificial intelligence or machine learning engineering, or operations support technology roles, including at least 4–6 years in technical leadership positions within operations support, information technology operations, or service operations environments.
  • A proven track record of delivering production artificial intelligence, machine learning, or data solutions that measurably improved operations support key performance indicators such as mean time to repair, mean time to detect, ticket deflection, toil reduction, or availability.
  • Strong hands-on expertise with modern data and artificial intelligence stacks, including Python, Apache Spark, Apache Kafka, Apache Airflow, cloud data platforms, PyTorch or TensorFlow, large language model frameworks, Databricks, Azure, and Azure Data Factory, together with integration into operations support ecosystems such as ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, and BigPanda.
  • Deep practical experience with AIOps patterns in live operations support settings, including event correlation, anomaly detection, automated actions, predictive analytics, and Generative Artificial Intelligence for operations.
  • Experience leading the development or significant enhancement of internal AIOps tooling platforms specifically for operations support teams.
  • Ability to remain deeply technical while leading people and strategy in a high-velocity operations support context.
  • Ability to explain complex artificial intelligence concepts to operations support practitioners and translate operational pain points into technical roadmaps for executives.
Responsibilities
  • Lead and contribute to high-impact data and artificial intelligence projects that improve operations support outcomes, including real-time incident enrichment, predictive alerting, automated root-cause analysis, change risk scoring, ticket clustering and autotriage, knowledge mining for support agents, and intelligent runbooks.
  • Design and deliver scalable features embedded into operations support workflows and platforms, including ServiceNow, Jira Service Management, monitoring tools, and information technology service management systems, in collaboration with multidisciplinary competency teams.
  • Ensure solutions meet strict operations support service-level agreements for reliability, low latency, auditability, explainability, and zero-downtime deployment.
  • Stay up to date with innovations and research in AIOps tools.
  • Lead the architecture, development, and continuous enhancement of internal AIOps platforms and reusable components that power operations support teams, including integrations with information technology service management, observability, ticketing, and automation tooling.
  • Support MLOps and AIOps best practices for production operations support artificial intelligence systems, including live-operations model monitoring, drift and performance-degradation detection, rollback mechanisms, and cost control at operational scale.
  • Serve as the lead artificial intelligence technical authority and trusted advisor for operations support programs, automation movements, and artificial intelligence transformation efforts across service operations, network operations centers, support desks, infrastructure operations, and reliability engineering.
  • Lead technical discussions, architecture reviews, proofs of concept, vendor evaluations, and solution selection when artificial intelligence is considered or applied to operations support challenges.
  • Identify, prioritize, and drive the highest-return-on-investment artificial intelligence use cases in operations support, such as reducing mean time to repair and mean time to detect, automating Level 1 triage, predicting priority incidents, automatically generating post-mortems, optimizing shift handovers, and enabling proactive operations support.
  • Build, mentor, and lead a high-performing squad of AIOps specialists focused on operations support outcomes.
  • Foster a culture of rapid experimentation, a production-first mindset, and focus on operational impact through reduced toil, faster resolution, and higher availability.
  • Perform technical coaching, design reviews, code reviews, and career development with emphasis on operations support domain knowledge.
  • Partner with operations support leaders, incident managers, service owners, reliability engineers, information technology service management and process teams, and infrastructure groups to align artificial intelligence initiatives with operational priorities and pain points.
  • Collaborate with the Data Science and Artificial Intelligence competency team.
Desired Qualifications
  • Background in Information Technology Infrastructure Library-aligned operations support processes, including incident, problem, change, service request, and knowledge management.
  • Hands-on experience with Generative Artificial Intelligence or large language model applications in operations support, including operations copilots, auto-remediation agents, intelligent knowledge search, and alert or incident summarization.
  • Prior success scaling AIOps capabilities in large-scale operations support, network operations center, or shared service environments.

Lingaro helps large organizations turn data into business value. It provides end-to-end data and AI services, from strategy and advisory to building scalable data platforms and AI solutions. Its team turns complex data into actionable insights, advanced analytics, and AI-driven automation, enabling faster decisions and greater efficiency. Lingaro distinguishes itself with global reach rooted in Europe, strong engineering expertise, agility, and deep industry knowledge, serving 75+ brands in 30+ countries, including highly regulated sectors. As a long-term transformation partner, the company aims to make organizations data-ready, AI-ready, and future-ready, delivering measurable business impact across teams and processes.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Warsaw, Poland

Founded

2008

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Simplify Jobs

Simplify's Take

What believers are saying

  • Lingaro added 163 active jobs in 2026, up 56.7% from 2025.
  • The 2024 eBusiness Institute acquisition strengthens cross-sell into marketing intelligence buyers.
  • ISG ranked Lingaro a Leader in Supply Chain analytics, improving enterprise credibility.

What critics are saying

  • Revelio shows headcount fell to 1,623 in Q1 2026, signaling execution strain.
  • Lingaro’s India hiring push raises delivery complexity and margin pressure during scaling.
  • Accenture, Deloitte, IBM, and Cognizant commoditize Lingaro’s consulting services and compress pricing.

What makes Lingaro unique

  • Lingaro combines data analytics, marketing intelligence, and digital commerce through eBusiness Institute.
  • Its 2026 hiring spans AI engineering, Databricks, Azure, GCP, and manufacturing analytics.
  • Lingaro’s Swiss acquisition adds end-to-end transformation capabilities for Fortune 500 clients.

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Benefits

Remote Work Options

Flexible Work Hours

Company News

OrangeTree Global
Jul 5th, 2026
Fractal, Tiger Analytics, LatentView and Tredence named Leaders in global Supply Chain analytics ranking.

Fractal, Tiger Analytics, LatentView and Tredence named Leaders in global Supply Chain analytics ranking. By Subhra Bishnu, Co-Founder & Director, OrangeTree Global - Connect on LinkedIn 23 June 2026 - ISG Provider Lens Research firm ISG named Fractal, Innover Digital, LatentView, Lingaro, Sigmoid, Tiger Analytics and Tredence as Leaders in its Provider Lens Supply Chain quadrant, recognising their AI-and-analytics capability in helping enterprises navigate geopolitical uncertainty, tariff shifts and demand volatility. Notably, most of these firms are India-founded or India-headquartered analytics majors competing and winning on the global stage - a strong data point for India's position in the global analytics services market. What this means for its clients: Wins like this validate what OrangeTree Business Solutions Pvt. Ltd see daily in its classrooms: Indian analytics talent is already competing globally. Its job is making sure the next generation of analysts - not just the top consulting firms - gets there too, through its corporate training programmes. how can OrangeTree Business Solutions Pvt. Ltd help you? Contact OrangeTree Business Solutions Pvt. Ltd at the Consulting WP office nearest to you or submit a business inquiry online.

Devdiscourse
Feb 20th, 2025
Lingaro India Achieves Prestigious Great Place to Work(R) Certification

Lingaro India, part of the international tech group Lingaro, has been certified as a Great Place to Work(R) based on its commitment to creating an outstanding workplace culture.

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Umanshi Marketing Expands Tech Portfolio With Global GCC Giants Lingaro And QualiZeal

With a focus on creating impactful brand building campaigns, Umanshi Marketing will work closely with Lingaro and QualiZeal to design and implement tailored communication strategies.

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Nov 23rd, 2023
Lingaro Group Expands Strategically Targets Aggressive Tech Talent Hiring in India

Lingaro Group expands strategically targets aggressive tech talent hiring in India.

BizClik
Sep 20th, 2022
Lingaro Group recognized as Strong Performer in the data and analytics service providers category in its Gartner Peer Insights Voice of the Customer report in 2022 on Aug 20th 22'.

Lingaro was recently recognized by Gartner as a Strong Performer in the data and analytics service providers category in its Gartner Peer Insights Voice of the Customer report in 2022.