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Zensar

Global IT services for digital transformation

AI Architect

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

  • 12–18+ years of experience in enterprise infrastructure, cloud architecture, AI/ML platforms, automation, and digital transformation.
  • 12+ years of experience in enterprise infrastructure and cloud.
  • 5+ years of experience 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.
  • Expertise in Generative AI, Large Language Models, prompt engineering, Retrieval-Augmented Generation architectures, vector databases, AI agents, MLOps, and AI governance.
  • Experience with Microsoft Azure, AWS, and Google Cloud Platform.
  • Experience with Python, PowerShell, Ansible, Terraform, GitHub Actions, and Azure DevOps.
  • A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Responsibilities

  • Define an 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.
  • Architect solutions across Microsoft Azure, AWS, and Google Cloud Platform.
  • 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.
  • Drive AIOps use cases including predictive incident management, event correlation and noise reduction, root cause analysis automation, capacity forecasting, and service health monitoring.
  • Drive network AI use cases including automated network impact analysis, SD-WAN optimization, AI-assisted troubleshooting, and network anomaly detection.
  • Drive security AI use cases including threat detection and response, security event correlation, AI-driven vulnerability prioritization, and cyber risk analytics.
  • Drive workplace and end-user computing AI use cases including virtual agent solutions, AI-powered service desks, knowledge management automation, and sentiment and experience analytics.
  • Design enterprise Generative AI platforms using Azure OpenAI, Microsoft Copilot, AWS Bedrock, and open-source large language models.
  • Build Retrieval-Augmented Generation architectures.
  • Implement AI assistants and enterprise chatbots.
  • Integrate AI solutions with ServiceNow, ITSM, CMDB, monitoring, and enterprise applications.
  • Develop AI-driven automation using Python, PowerShell, Terraform, Ansible, GitHub Enterprise, and DevOps platforms.
  • Design self-healing infrastructure frameworks.
  • Build infrastructure-as-code and AI-assisted operational workflows.
  • 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 Qualifications

  • Microsoft Certified: Azure Solutions Architect Expert certification.
  • Microsoft Certified: Azure AI Engineer Associate certification.
  • AWS Solutions Architect Professional certification.
  • Google Professional Cloud Architect certification.
  • TOGAF certification.
  • CISSP certification.
  • ITIL Expert or Managing Professional certification.

About the Company

Zensar

Global IT services for digital transformation

Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.

Company size
10,001+
Company stage
IPO
Headquarters
Pune, India
Founded
1991

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