Azure AI Engineer

About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

Platform Engineer - DevOps

Location: Gurgaon (India), Hyderabad

Role Overview

We are looking a highly skilled Azure AI Engineer to design, develop, and operationalize AI-driven solutions across our Azure cloud platform. The role will focus on embedding AI into platform engineering, automation pipelines, and observability (Grafana) to improve operational efficiency, reliability, and intelligent decision-making.

Key Responsibilities

• 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 (incident analysis, RCA, monitoring insights, 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.
• Implement MLOps practices for model deployment, versioning, and monitoring.
• Ensure compliance with security, governance, and enterprise standards (SOX, audit readiness).

Required Skills & Experience

• 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: PowerShell / Python / Bash
• CI/CD tools (GitHub Actions, Azure DevOps)
• Automation frameworks and scripting
• Experience with AI Agents / Copilot integration, LLMs, Prompt Engineering, RAG architectures, Infrastructure as Code (Terraform, Bicep)
• Hands on AI cost optimization

Good 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

#LI-PS1

Offers of employment are conditional upon passage of screening criteria applicable to the job.

EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.