Remote Azure AI/ML Practice Architect

TEKsystems; Hanover (MD); On-site; USD 136,000 - 204,000; Full time

Benefits offered by this job

Life insurance

Sick time

401(k)

Retirement plan

Profit sharing

Job summary

TEKsystems Global Services is seeking an Azure AI Platform Practice Architect I to design, implement, and deliver Azure cloud, DevOps, and AI-enabled solutions under senior guidance. This role focuses on client engagements, skill development, and delivery excellence, with most time on delivery and some internal support.

The position is remote, full-time, and based in Hanover, MD, offering growth opportunities, mentorship, and involvement in enterprise projects leveraging Azure AI services.

Qualifications

• Bachelor's degree in Computer Science, MIS, Engineering, or related field or commensurate real-world experience.
• 3-5 years' experience in cloud infrastructure, DevOps, or Azure-related roles.
• Exposure to Azure AI/ML services is a plus.
• Experience in a consulting or client-facing environment preferred.

Responsibilities

• Support design and implementation of client DevOps solutions and Azure cloud architectures under senior guidance.
• Assist in architecting Development, Testing, and Infrastructure environments on Azure.
• Document technical specifications and gather requirements for projects.
• Contribute to MLOps practices including pipeline configuration using Azure DevOps, AKS, and Azure Container Registry.
• Develop scripts and tools to automate manual procedures and improve efficiency.

Skills

Python

Javascript

Education

Bachelor's degree

Tools

Azure DevOps

Terraform

ARM Templates

Azure GUI

Azure CLI

Job description

TEKsystems Global Services is seeking an Azure AI Platform Practice Architect I to design, implement, and deliver Azure cloud, DevOps, and AI-enabled solutions under senior guidance. This role focuses on client engagements, skill development, and delivery excellence, with most time on delivery and some internal support.

The position is remote, full-time, and based in Hanover, MD, offering growth opportunities, mentorship, and involvement in enterprise projects leveraging Azure AI services.