What You'll Be Doing:
Hands-on Data & Al 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.

- 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/AlOps best practices specifically for production operations support Al systems: model monitoring in live ops environments, drift & performance degradation detection, rollback mechanisms, and cost control at operational scale.

Al Technical Leadership for Operations Support Initiatives

- Serve as the lead Al technical authority and trusted advisor for all operations support programs, automation movements, and Al 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 Al is being considered or applied to operations support challenges.

- Identify, prioritize, and drive the highest-ROI Al 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 Al initiatives with operational priorities and pain points.

- Strong collaboration with DS&AI; Competency.

What We Are Looking For:

- 10+ years in data engineering, Al/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 Al/ML/data solutions that measurably improved operations support KPIs (MTT R, MTT D, ticket deflection, toil reduction, availability).

- Robust 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/internaI tooling platforms specifically for operations support teams

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
What Will Set You Apart:

- Background in ITIL-aligned operations support processes (incident, problem, change, service request, knowledge management).

- Hands-on work with GenAl/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 Al 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 - https://lingarogroup.com/hubfs/Candidate%20Privacy%20Notice%2c%20Lingaro.pdf

📌 AI Operations Tech Leader (India)
🏢 Lingaro
📍 India