Azure AI Engineer

About the role

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access through branch optimization and self-service availability. As an Azure AI Engineer based in Gurgaon (India) or Hyderabad, you will design, develop, and operationalize AI-driven solutions across the Azure cloud platform. Day-to-day work focuses on embedding AI into platform engineering, automation pipelines, and observability (Grafana) to improve operational efficiency, reliability, and intelligent decision-making.

What you’ll do

• Design and implement AI/ML solutions using Azure AI Services (Azure OpenAI, Cognitive Services, ML Studio)
• Develop intelligent agents, copilots, and automation workflows to enhance platform operations
• Integrate AI capabilities into CI/CD pipelines, deployment automation, and CAPE frameworks
• Automate operational tasks including incident analysis, RCA, monitoring insights, and ticketing
• Build scalable AI solutions using Azure Data Services (ADLS, Synapse, Databricks)
• Manage data pipelines for training, inference, and real-time analytics
• Leverage Grafana, Azure Monitor, and Log Analytics to create AI-driven insights
• Enable predictive monitoring, anomaly detection, and alert intelligence

What you’ll bring

• 3-5 years of overall experience in AI/ML, SRE, or Observability engineering
• Proven experience in production-grade AI/ML deployments (not limited to POCs)
• Hands-on exposure to cloud-native applications on Microsoft Azure
• Scripting proficiency in PowerShell, Python, or Bash
• CI/CD tools experience (GitHub Actions, Azure DevOps)
• Experience with AI Agents/Copilot integration, LLMs, Prompt Engineering, RAG architectures, and Infrastructure as Code (Terraform, Bicep)
• Hands-on AI cost optimization experience
• Automation frameworks and scripting experience

Nice to have

• Experience with Generative AI, LLMs, prompt engineering, and RAG-based solutions
• Exposure to AIOps, automated remediation, incident prediction, and intelligent alert correlation
• Knowledge of Infrastructure as Code tools such as Terraform, ARM, or Bicep
• Familiarity with DevOps automation, GitOps/IaC, and Responsible AI & governance practices
• Experience with Azure Managed Grafana

Skills