About the Position

AI Operations Tech Leader

India

CC Operations – Global Operations Support

Full-time / Remote

Responsibilities

Hands-on Data & AI Solutions for Operations Support

Actively lead and contribute to high-impact data/AI projects that directly improve operations support outcomes - e.g., real-time incident enrichment, predictive alerting, automated root-cause analysis, change risk scoring, ticket clustering & autotriage, knowledge mining for support agents, and intelligent runbooks.
Design and deliver scalable features embedded into operations support workflows and platforms (ServiceNow, Jira Service Management, monitoring tools, ITSM systems, etc.) in collaboration with multidisciplinary competency teams.
Ensure solutions meet strict operations support SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment.
Stay up-to-date with innovations and research in AIOPS Tools.

AIOps Tools & Platform Leadership for Operations Support

Lead the architecture, development, and continuous enhancement of internal AIOps platforms and reusable components that power operations support teams - including integration with ITSM, observability (Prometheus/Grafana/ELK/Dynatrace/Splunk), ticketing, and automation tooling.
Support MLOps/AIOps best practices specifically for production operations support AI systems: model monitoring in live ops environments, drift & performance degradation detection, rollback mechanisms, and cost control at operational scale.

AI Technical Leadership for Operations Support Initiatives

Serve as the lead AI technical authority and trusted advisor for all operations support programs, automation movements, and AI transformation efforts across service operations, NOC, support desks, infrastructure operations, and reliability engineering.
Lead technical discussions, architecture reviews, PoCs, vendor evaluations, and solution selection whenever AI is being considered or applied to operations support challenges.
Identify, prioritize, and drive the highest-ROI AI use cases in operations support - e.g., reducing MTTR/MTTD, automating Level 1 triage, predicting PI incidents, autogenerating post-mortems, optimizing shift handovers, and enabling proactive operations support.

Team & People Leadership

Build, mentor, and lead a high-performing squad of AIOps specialists focused on operations support outcomes.
Foster a culture of rapid experimentation, production-first mindset, and relentless focus on operational impact (reduced toil, faster resolution, higher availability).
Perform technical coaching, design/code reviews, and career development with emphasis on operations support domain knowledge.

Stakeholder & Cross-Functional Collaboration

Partner intensively with operations support leaders, incident managers, service owners, reliability engineers, ITSM/process teams, and infrastructure groups to align AI initiatives with operational priorities and pain points.
Strong collaboration with DS&AI Competency.

Requirements

10+ years in data engineering, AI/ML engineering, or operations support technology roles, with 4-6+ years in technical leadership positions within operations support / IT operations / service operations environments.
Proven track record delivering production AI/ML/data solutions that measurably improved operations support KPIs (MTTR, MTTD, ticket deflection, toil reduction, availability).
Strong hands-on expertise with modern data/AI stacks (Python, Spark, Kafka, Airflow, cloud data platforms, PyTorch/TensorFlow, LLM frameworks) and integration into operations support ecosystems (ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, BigPanda, etc., Databricks, Azure/ADF).
Deep practical experience with AIOps patterns in live operations support settings: event correlation, anomaly detection, automated actions, predictive analytics, GenAI for ops.
Experience leading development or significant enhancement of AIOps/internal tooling platforms specifically for operations support teams.

Nice to Have

Background in ITIL-aligned operations support processes (incident, problem, change, service request, knowledge management).
Hands-on work with GenAI/LLM applications in operations support (ops copilots, auto-remediation agents, intelligent knowledge search, summarization of alerts/incidents).
Prior success scaling AIOps capabilities in large-scale operations support / NOC / shared service environments.
Leadership & Soft Skills
- Ability to stay deeply technical while leading people and strategy in a high-velocity operations support context.
- Excellent communication - can explain complex AI concepts to operations support practitioners and translate operational pain into technical roadmaps for executives.
- Strong bias for action, production impact, and reducing operational toil through intelligent automation.

We Offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office, depending on your location.
Flexibility regarding working hours and your preferred form of contract.
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemy learning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Internal Gallup Certified Strengths Coach to support your growth.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.
Modern office equipment. Purchased for you or available to borrow, depending on your location.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. More information about how your data is processed you can find here - Candidate Privacy Notice, Lingaro

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AI Operations Tech Leader

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