Azure AI Platform Engineer
About the Role
NTT DATA's Client is currently seeking an Azure AI Platform Engineer to join their team in Irving, Texas (US-TX), United States (US). The role involves designing, developing, and maintaining scalable cloud-native platform solutions across Azure, AWS, and Kubernetes environments to support enterprise applications and AI workloads.
Responsibilities
- Design, develop, and maintain scalable cloud-native platform solutions across Azure, AWS, and Kubernetes environments.
- Build and manage Infrastructure as Code (IaC) solutions using Terraform, Helm, and automation frameworks.
- Develop and optimize CI/CD pipelines leveraging GitLab CI/CD, GitHub Actions, Jenkins, and related DevOps tooling.
- Architect, deploy, and support Kubernetes-based platforms including AKS, EKS, OpenShift, and containerized application ecosystems.
- Partner with application development teams to implement secure, reliable, and highly available cloud services, microservices, and platform components.
- Design and implement observability solutions using monitoring, logging, and tracing technologies.
- Support AI and data platform initiatives by implementing infrastructure for Azure OpenAI, vector databases, RAG pipelines, and modern cloud-native data services.
- Collaborate with architecture, security, operations, and engineering teams to define cloud platform standards, governance, and best practices.
- Participate in technical design reviews, troubleshooting activities, root cause analysis, and production support efforts.
- Mentor junior engineers and contribute to agile delivery processes, technical documentation, and knowledge-sharing initiatives.
Requirements
- Minimum 5+ years of experience designing and implementing cloud-native solutions on Microsoft Azure.
- Minimum 5+ years of experience working with Kubernetes, container orchestration, and container platforms including AKS, EKS, OpenShift, and Docker.
- Minimum 5+ years of experience with Infrastructure as Code (IaC) using Terraform and Helm.
- Minimum 5+ years of experience building and supporting CI/CD pipelines using GitLab CI/CD, GitHub Actions, Jenkins, or similar DevOps tools.
- Minimum 5+ years of experience developing software applications using Python, Java, JavaScript, or TypeScript.
- Minimum 5+ years of experience designing and implementing microservices architectures and REST APIs.
- Minimum 5+ years of experience supporting cloud security, identity management, and access control frameworks.
- Minimum 5+ years of experience working with cloud storage, messaging, and database technologies including SQL and NoSQL platforms.
- Minimum 5+ years of experience implementing monitoring, logging, and observability solutions using tools such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.
- Minimum 5+ years of experience working within Agile, Scrum, DevOps, or Site Reliability Engineering (SRE) environments.
- Minimum 5+ years of experience collaborating directly with business stakeholders, architects, developers, and operations teams to deliver enterprise cloud solutions.
Qualifications
- Bachelors in Computer Science or equivalent work experience.
- Willingness to be in a client office 3 days a week in Charlotte, Atlanta, Minneapolis, Dallas, Chicago, or Cincinnati.
Nice to Have
- Project lead experience.
About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is part of NTT Group, which invests over $3.6 billion annually in R&D to help organizations and society move confidently and sustainably into the digital future.