Azure Practice Architect – AI/ML

🕒 July 30

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TEKsystems

10,000+ employees

Founded 1983

💼 Consulting

🎯 Recruiter

🏢 Enterprise

Consulting • Recruitment • Enterprise

TEKsystems is a global IT and business services firm that provides technology consulting, talent solutions, managed services and workforce recruitment to enterprise clients. The company delivers cloud, digital and data services (including AI/ML and automation), application innovation, Agile/DevOps transformation, technology operations and digital experience work, and operates large-scale talent and managed service programs. TEKsystems works across industries (financial services, healthcare, public sector, telecommunications, retail/manufacturing, energy and more), maintains technology partnerships with major cloud and software providers, and reports more than $7B in annual revenue and 100+ locations worldwide.

📋 Description

• The AI Enhanced Azure Platform Practice Architect II serves as a senior enterprise consultant, architect, and technical leader within the Azure DevOps and AI practices. • This role extends the traditional Azure Platform Architect scope by integrating AI-powered capabilities, tooling, and intelligent automation across client engagements. • Reviews proposals and prepares project plans. • Works alongside delivery managers from all practices (InfoSec, Network, Data Center Support, Managed Services, etc.) to identify requirements. • Advises clients on both DevOps best practices and AI-enhanced solutions. • Expected to spend approximately 80% of time on delivery support and 20% on sales engineering support. • Bridges business needs with technical AI capabilities, ensuring that cloud and AI initiatives are scalable, secure, and aligned with organizational goals. • Lead complex projects to completion on time and on budget. • Architect solutions by mapping a customer’s business problem to an end-to-end technology solution. • Create and deploy Terraform Templates and architect Infrastructure as Code (IaaC) solutions.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Management Information Systems, Engineering, or a related field — or commensurate real-world experience • 8–10 years’ experience managing DevOps implementations across on-premises and cloud-based infrastructure deployments • 3+ years focused on Azure AI solutions design and implementation • Prior management and consulting experience required • Hands-on experience with the Azure GUI, Azure CLI, PowerShell, ARM Templates, Azure DevOps, Terraform, and Git • Experience with Azure AI and ML services: Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Synapse Analytics, Azure Data Factory, and Databricks • Proficiency in Python, R, or other AI/ML programming languages • Strong understanding of cloud-native design principles and microservices architecture • Previous experience or familiarity with: VMware, Windows Server, Linux, LAN/WAN concepts • Experience with data engineering tools and frameworks • Familiarity with security and governance frameworks (e.g., ISO 27001, NIST) • Proven experience aiding customers with Cloud Enablement and familiarity with Microsoft’s Cloud Adoption Framework • Strategic thinker with hands-on technical expertise across both platform and AI disciplines

🏖️ Benefits

• Medical, Dental, and Vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

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