Practice Architect AI/ML

TEKsystems•Baltimore, MD

1d•Remote

About The Position

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: The AI Enhanced Azure Platform Practice Architect I is a mid level technical role within the Azure Platform and AI practice at TEKsystems Global Services. This individual contributor role is focused on supporting the design, implementation, and delivery of Azure cloud, DevOps, and AI-enhanced solutions under the guidance of senior architects and practice leads. The PA I will work alongside senior team members to deliver client engagements, develop their technical skillset across Azure platform and AI tooling, and progressively take on greater ownership of workstreams. The position is expected to spend approximately 85% of time on delivery support and 15% on internal practice and pre-sales support activities.

Requirements

Bachelor’s degree in Computer Science, Management Information Systems, Engineering, or a related field — or commensurate real-world experience
3–5 years’ experience working in cloud infrastructure, DevOps, or Azure-related roles
Working knowledge of the Azure GUI, Azure CLI, PowerShell, ARM Templates, Azure DevOps, Terraform, and Git
Foundational understanding of Azure AI and ML services: Azure OpenAI, Azure Machine Learning, Cognitive Services, and/or Azure Synapse Analytics
Basic proficiency in Python, R, or other scripting/AI-related languages
Understanding of cloud-native design principles and Infrastructure as Code concepts
Familiarity with VMware, Windows Server, Linux, and LAN/WAN concepts
Awareness of security and governance frameworks (e.g., ISO 27001, NIST)
Familiarity with Microsoft’s Cloud Adoption Framework and cloud enablement concepts
Eagerness to learn and grow within a fast-paced, client-facing consulting environment
Strong communication skills with the ability to clearly explain technical concepts to colleagues and clients
Collaborative team player with a proactive, problem-solving mindset
Good organizational skills with the ability to manage multiple tasks and priorities
Receptive to feedback and committed to continuous improvement
Enthusiasm for AI innovation and cloud transformation

Nice To Haves

Exposure to or foundational experience with Azure AI/ML services is a plus
Experience in a consulting, professional services, or client-facing delivery environment preferred
Exposure to data engineering tools such as Azure Data Factory or Databricks is a plus
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft Certified: Azure Administrator Associate (AZ-104)
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Azure DevOps Engineer Expert (AZ-400)
ITIL Foundations
Bicep and Python are a plus

Responsibilities

Support the design and implementation of client DevOps solutions and Azure cloud architectures under the direction of senior architects
Assist in architecting and building Development, Testing, and Infrastructure environments on Azure
Contribute to project scoping activities by gathering requirements and documenting technical specifications
Participate in Azure Migrate efforts — assisting app teams with migration of custom and third-party applications to Azure
Create and deploy Terraform Templates and contribute to Infrastructure as Code (IaaC) development
Operate and maintain Azure DevOps pipelines and assist with workflow configuration and troubleshooting
Assist in building automation frameworks to support scaling of environments and new application deployments
Develop scripts and tools to automate manual procedures and increase operational efficiency
Support monitoring and analytics systems and assist with continuous improvement initiatives
Adhere to production change control policies and document process improvement opportunities
Contribute to high-level design documentation, technical assessments, and implementation guides
Assist with disaster recovery and business continuity planning documentation under senior guidance
Support the implementation of AI solutions using Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Azure Synapse Analytics
Assist in integrating AI models into enterprise applications, DevOps pipelines, and data workflows
Contribute to MLOps practices including pipeline configuration using Azure DevOps, AKS, and Azure Container Registry
Apply AI tooling to support automation, monitoring enhancement, and anomaly detection on client engagements
Help develop and maintain reusable AI architecture patterns and reference implementations
Ensure implemented AI components meet documented performance, security, and compliance requirements
Actively learn and stay current with emerging Azure AI technologies and share findings with the team
Work closely with senior architects, delivery managers, and client stakeholders to understand requirements and deliver solutions
Participate in client-facing meetings and assist with presentations, status updates, and technical walkthroughs
Contribute to internal knowledge sharing, documentation, and practice asset development
Proactively seek mentorship and feedback from senior team members to accelerate skill growth
Support pre-sales activities including technical research, proposal contributions, and solution brief preparation
Collaborate across practices (InfoSec, Network, Data Center Support, Managed Services) to support integrated delivery