Lead - Tool Enhacement

Actively Reviewing the Applications

airtel

India, Haryana Full-Time INR 4–7 LPA

Posted 5 days ago • Apply by June 28, 2026

Job Description

JD: Senior IT, Automation & AI Operations Engineer (10+ Years IT Experience)

Job Title: Senior IT, Automation & AI Operations Engineer

Role Summary

We are seeking a Senior IT, Automation & AI Operations Engineer with deep experience in enterprise application architecture, data platforms, AI/ML-driven systems, and modern distributed architectures. The role requires strong ownership of end-to-end solution design, intelligent automation, AIOps enablement, and technical governance, while leading multiple delivery teams across complex environments.

Key Responsibilities

Application Architecture & Intelligent Solution Design

Own end-to-end solution architecture for enterprise-scale and mission-critical systems.
Translate business and operational requirements into scalable, secure, resilient, and AI-enabled architectures.
Define reference architectures, design standards, and automation-first best practices.
Review and approve solution designs across teams, including AI/ML and AIOps use cases.

Application, Platform & Microservices Architecture

Architect microservices-based and event-driven applications.
Guide front-end, back-end, and platform-level design decisions.
Design API-led, asynchronous, and data-driven systems integrated with AI services.

Technologies

Spring Boot / Node.js / FastAPI
Docker, Kubernetes, OpenShift
REST, Event Streaming, API Gateways
RAG, MCPs

AI/ML Applications & Intelligent Automation

Design and integrate AI/ML-powered applications for:

Predictive analytics
Anomaly detection
Recommendation engines
Intelligent decision support

Enable ML model deployment and inference within enterprise platforms.
Support LLM-based use cases such as intelligent search, chatbots, and automation copilots.
Collaborate with data science teams to operationalize models using MLOps practices.

AIOps & IT Operations Automation

Architect AIOps platforms for proactive IT operations.
Enable:

Event correlation and noise reduction
Predictive incident detection
Root cause analysis using ML
Automated remediation and self-healing systems

Integrate observability data (logs, metrics, traces) into AI-driven operational insights.

Data & Integration Architecture

Design data flows across OLTP, OLAP, streaming, and analytics platforms.
Define data ingestion and integration strategies supporting AI/ML and real-time analytics.
Ensure data consistency, quality, governance, and scalability across platforms.

Leadership & Stakeholder Management

Act as the primary technical advisor to business, IT, and operations stakeholders.
Mentor architects, automation engineers, and platform teams.
Support estimation, roadmap planning, and delivery governance for automation and AI initiatives.

Required Qualifications

10+ years of IT experience , with strong exposure to automation and platform engineering.
Deep understanding of:

Distributed systems
Microservices and event-driven architectures
Cloud and container platforms
Data-driven and AI-enabled architectures

Experience in development and integrating AI/ML solutions into enterprise systems.
Exposure to AIOps platforms or intelligent IT operations.
Excellent communication, documentation, and leadership skills.

Preferred Qualifications

Telecom Experience
Experience with AIOps tools (e.g., Moogsoft, Dynatrace, Splunk ITSI, Elastic, PagerDuty).
Exposure to ML platforms (MLflow, SageMaker, Azure ML).
Knowledge of LLMs, RAG pipelines, and AI orchestration frameworks.
Cloud or architecture certifications.