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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Practice Architect - AI/ML (Full-Time Remote) - **Company:** TEKSYSTEMS INC. - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Experienced - **Salary:** $156,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Data Centers, Data Systems, Linux, DevOps, Disaster Recovery, Graphical User Interface, Monitoring of Systems, High-Level Architecture, Python (Programming Language), Windows Servers, Windows PowerShell, Software Tools, Azure DevOps Pipelines, Azure Machine Learning, Wide Area Networks, Enterprise Software Applications, Cloud Platform System, Azure Data Factory, Delivery Pipeline, IT Architecture, Multi-Cloud, Azure Powershell, HybridCloud, Git, Togaf, Information Technology, Deployment Automation, Azure AKS, Machine Learning Operations, Cloud Migration, Terraform, Azure Synapse Analytics, Stream Analytics, Data Pipelines, Azure Resource Manager, Databricks, Vmware, Programming Languages, Microservices - **Published:** August 28, 2026 - **Apply:** https://www.dallasjobsite.com/job.asp?id=3367880927&tx=KR2121FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 Technical Skills * 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 Professional Skills * Effective in fostering and maintaining executive-level client relationships * Demonstrated ability to engage in senior -level technology decision-maker discussions related to agility, AI value, and business outcomes * Strong presentation, documentation, and analysis skills * Excellent communication and stakeholder management skills * Team player with proven leadership, communication, organizational, and interpersonal skills * Passionate about AI innovation and enterprise transformation * Comfortable navigating complex, multi-cloud environments Certifications * Microsoft Certified: Azure Solutions Architect Expert * Microsoft Certified: Azure AI Engineer Associate Additional Preferred * Microsoft Azure DevOps Engineer Expert * TOGAF or other enterprise architecture certifications * ITIL Certifications ## 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. The PA reviews proposals and prepares project plans, works alongside delivery managers from all practices (InfoSec, Network, Data Center Support, Managed Services, etc.) to identify requirements, and advises clients on both DevOps best practices and AI-enhanced solutions. The position is expected to spend approximately 80% of time on delivery support and 20% on sales engineering support. This hybrid role bridges business needs with technical AI capabilities, ensuring that cloud and AI initiatives are scalable, secure, and aligned with organizational goals., * Azure Platform & DevOps Architecture * Design and support client DevOps solutions and Public/Hybrid Cloud Architectures * Architect and support Azure Infrastructure environments, Development, and Testing environments * Scope complex projects based on business requirements and achievable benefits * 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 * Utilize and operate Azure DevOps pipelines and workflows * Build out systems and platforms to support scaling of existing environments, new applications, and initiatives, leveraging existing and new automation frameworks * Develop tools and processes to automate manual procedures and increase efficiency * Oversee continuous improvement and optimization of monitoring and analytics systems * Ensure adherence to production change control policies and identify opportunities for process improvement * Ensure infrastructure technology projects incorporate appropriate planning, technical analysis, budgets, and resource management to meet deadlines and objectives * Support Azure Migrate efforts - working with app teams to migrate custom and third-party applications to Azure * Develop high-level designs, technology assessments, technical architecture reviews, implementation/deployment schedules, disaster recovery, and business continuity planning AI-Enhanced Capabilities & Tooling * Architect end-to-end AI solutions using Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Azure Synapse Analytics * Define and implement scalable AI architectures that support real-time analytics, predictive modeling, and intelligent automation across client environments * Integrate AI models into enterprise applications, DevOps pipelines, and data pipelines to enhance operational outcomes * Establish and manage MLOps practices using Azure DevOps, Azure Kubernetes Service (AKS), and Azure Container Registry * Leverage AI tooling to augment DevOps automation, infrastructure monitoring, anomaly detection, and predictive capacity planning * Develop reusable AI architecture patterns and reference implementations for use across client engagements * Ensure AI systems meet performance, security, and compliance standards (including ISO 27001 and NIST frameworks) * Stay current with emerging AI technologies and Azure platform updates to continuously evolve service offerings Leadership & Client Engagement * Lead technical design sessions and guide engineering teams through AI and platform implementation phases * Effectively facilitate meetings with senior management and executive stakeholders * Collaborate with clients as a trusted advisor to continuously improve IT Cloud Operations * Lead teams and cross-team meetings across practices * Provide technical mentorship to platform engineers, AI engineers, and developers * Develop strong executive-level client relationships and engage in senior -level technology decision-maker discussions related to agility, AI value, and business transformation ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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