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AIOPS Engineer with Azure AI @ Tech Mahindra

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Tech Mahindra  AIOPS Engineer with Azure AI

Job Description

Role Summary / Job Purpose

Senior Azure AI Developer will design and develop AI-driven solutions on Microsoft Azure, with a strong focus on Generative AI and Agentic AI, supporting IT Operations and AIOps use cases for telecom clients. The role involves building scalable AI services, intelligent agents, and automation workflows that enhance operational efficiency and service reliability.

Key Responsibilities

  • Design and develop AI/GenAI solutions using Azure AI services
  • Build and deploy GenAI-based applications using Azure OpenAI
  • Develop Agentic AI workflows for incident analysis, RCA, and remediation support
  • Implement AI use cases for IT Operations and AIOps scenarios
  • Integrate AI solutions with monitoring, observability, and ITSM platforms
  • Develop APIs, microservices, and pipelines for AI workloads
  • Ensure performance, security, and scalability of AI solutions
  • Collaborate with architects, AIOps teams, and telecom operations stakeholders
  • Support solution design discussions and technical walkthroughs

Key Deliverables / Outcomes

  • Production-ready GenAI and Agentic AI components on Azure
  • AI use cases improving incident handling and operational insights
  • Reusable AI services and automation components
  • Stable, secure, and scalable AI deployments

Required Skills & Competencies

Technical Skills

  • Azure AI services (Microsoft Foundry, Azure OpenAI, Azure ML, Cognitive Services)
  • GenAI frameworks (prompt engineering, RAG patterns, LLM orchestration)
  • Agentic AI concepts (multi-step agents, tool-calling, workflow orchestration)
  • Python, REST APIs, microservices architecture
  • Azure DevOps, CI/CD pipelines

AIOps / IT Operations Skills

  • Understanding of IT Ops / AIOps use cases
  • Incident, alert, and event data processing
  • Integration with monitoring and observability tools
  • ITSM systems (ServiceNow or equivalent)

Telecom Domain Knowledge

  • Telecom IT and network operations exposure
  • OSS/BSS, NOC, and service assurance familiarity
  • Multi-vendor, large-scale operational environments

Behavioral / Soft Skills

  • Strong problem-solving skills
  • Clear technical communication
  • Ability to work in client-facing environments
  • Ownership and delivery focus

Qualifications

  • Bachelors degree in Engineering / Computer Science
  • Azure certifications (AI / Data / Cloud) preferred

Experience

  • 710 years of overall experience in software / AI development
  • 3+ years working on AI / ML solutions
  • Hands-on experience with GenAI and Azure-based AI services
  • Prior exposure to IT Operations or AIOps use cases is preferred

Tools & Technologies

  • Azure OpenAI, Azure ML
  • Python, REST, microservices
  • Azure DevOps, Git
  • Monitoring and ITSM platforms

Stakeholders / Interfaces

  • AIOps and IT Operations teams
  • Solution and enterprise architects
  • Telecom client stakeholders
  • Tech Mahindra delivery teams

Success Criteria

  • Successful delivery of GenAI and Agentic AI use cases
  • Improved operational insights and automation outcomes
  • High solution stability and performance
  • Positive client and stakeholder feedback

Additional Information

  • Client-facing role within telecom transformation programs
  • Exposure to large-scale, mission-critical operations environments

Notice Period: 15-30 Days

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Tech Mahindra
Location(s): Hyderabad

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Keyskills:   Azure Open AI Azure Ai AIOPS Python

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Tech Mahindra

Tech Mahindra Limited is an Indian multinational provider of information technology (IT), networking technology solutions and Business Process Outsourcing (BPO) to the telecommunications industry. Tech Mahindra is a US$4.2 billion company with over 117,000 employees across 90 countries. It provide...