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    Job · 21448213

    PUNE · FULLTIME

    AI Architect

    Zensar Technologies

    Zensar Technologies

    Pune · onsite · Posted 2d ago

    Sourced fromNaukri
    Undisclosed18–20 yrsfulltimePune

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    Section · 01

    About this role

    Experience

    12-18+ Years in Enterprise Infrastructure, Cloud Architecture, AI/ML Platforms, Automation, and Digital Transformation

    Role Summary

    We are seeking an experienced AI Architect to lead the design and implementation of AI-driven solutions across enterprise cloud and infrastructure environments. The role will focus on integrating Generative AI, AIOps, automation, cloud platforms, and enterprise infrastructure services to improve operational efficiency, reliability, security, and business outcomes.

    The ideal candidate should possess deep expertise in cloud architecture, enterprise infrastructure, AI technologies, automation platforms, and modern operational frameworks.

    Key Responsibilities

    AI Strategy & Architecture

    • Define enterprise AI architecture roadmap aligned with business and technology objectives.
    • Design scalable AI/ML and Generative AI platforms across hybrid cloud environments.
    • Establish AI governance, responsible AI practices, security, and compliance frameworks.
    • Identify AI opportunities across IT Operations, Service Management, Security, Network, Cloud, and End User Computing.

    Cloud & Infrastructure Architecture

    • Architect solutions across:
      • Microsoft Azure
      • AWS
      • Google Cloud Platform (GCP)
    • Design hybrid cloud and multi-cloud architectures.
    • Define cloud landing zones, security baselines, identity integration, and operational frameworks.
    • Modernize infrastructure through automation and AI-enabled operations.

    AI-Powered Infrastructure Operations

    Drive enterprise use cases such as:

    AIOps

    • Predictive incident management
    • Event correlation and noise reduction
    • Root cause analysis automation
    • Capacity forecasting
    • Service health monitoring

    Network AI

    • Automated network impact analysis
    • SD-WAN optimization
    • AI-assisted troubleshooting
    • Network anomaly detection

    Security AI

    • Threat detection and response
    • Security event correlation
    • AI-driven vulnerability prioritization
    • Cyber risk analytics

    Workplace & End User Computing AI

    • Virtual agent solutions
    • AI-powered service desk
    • Knowledge management automation
    • Sentiment and experience analytics

    GenAI & Copilot Solutions

    • Design enterprise GenAI platforms using:
      • Azure OpenAI
      • Microsoft Copilot
      • AWS Bedrock
      • Open-source LLMs
    • Build Retrieval-Augmented Generation (RAG) architectures.
    • Implement AI assistants and enterprise chatbots.
    • Integrate AI solutions with ServiceNow, ITSM, CMDB, monitoring, and enterprise applications.

    Automation & Engineering

    • Develop AI-driven automation using:
      • Python
      • PowerShell
      • Terraform
      • Ansible
      • GitHub Enterprise
      • DevOps platforms
    • Design self-healing infrastructure frameworks.
    • Build infrastructure-as-code and AI-assisted operational workflows.

    Stakeholder Management

    • Collaborate with CIOs, CTOs, Infrastructure Leaders, Security Teams, and Business Stakeholders.
    • Provide technical leadership for large transformation programs.
    • Support pre-sales, solutioning, RFP responses, and technical governance.

    Desired Experience

    • 12+ years in Enterprise Infrastructure & Cloud.
    • 5+ years in AI, Automation, AIOps, or Intelligent Operations.
    • Experience architecting enterprise-scale solutions supporting 10,000+ users.
    • Experience leading cloud transformation and AI adoption initiatives.
    • Strong advisory and customer-facing consulting experience.

    Required Technical Skills

    AI & Data

    • Generative AI
    • Large Language Models (LLMs)
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Vector Databases
    • AI Agents
    • MLOps
    • AI Governance

    Cloud Platforms

    • Microsoft Azure
    • AWS
    • Google Cloud Platform

    Automation

    • Python
    • PowerShell
    • Ansible
    • Terraform
    • GitHub Actions
    • Azure DevOps

    Qualifications

    Education

    • Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, or related field.

    Preferred Certifications

    • Microsoft Certified: Azure Solutions Architect Expert
    • Microsoft Certified: Azure AI Engineer Associate
    • AWS Solutions Architect Professional
    • Google Professional Cloud Architect
    • TOGAF
    • CISSP (Preferred)
    • ITIL Expert / Managing Professional



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    it operationsIncident ManagementTroubleshootingRFPConsultingMonitoringAnalyticsPresalesMicrosoftForecasting

    Section · Company

    About Zensar Technologies

    Zensar Technologies

    Zensar Technologies

    IT Services & Consulting

    10.0k+

    employees

    2001

    25 years old

    Pune, Maharashtra

    India

    About

    Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.

    Industries

    IT Services & Consulting

    Employee ratings

    2,994 reviews

    3.7/ 5

    Culture

    3.5

    Career growth

    3.0

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance442Work Culture366Senior Management300Salary295Job Security229

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