Azure Practice Architect – AI/ML

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $156k - $234k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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TEKsystems

WebsiteLinkedInAll Job Openings

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

• Design and support client DevOps solutions and public/hybrid cloud architectures • Architect and support Azure infrastructure, development, and testing environments • Scope complex projects based on business requirements and achievable benefits • Lead complex projects to completion on time and on budget • Map customer business problems to end-to-end technology solutions • Create and deploy Terraform templates and architect Infrastructure as Code solutions • Utilize and operate Azure DevOps pipelines and workflows • Build systems and platforms to scale existing environments, new applications, and initiatives using 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 process improvements • Plan infrastructure technology projects, including technical analysis, budgets, resources, deadlines, and objectives • Support Azure Migrate efforts for custom and third-party applications • Develop high-level designs, technology assessments, architecture reviews, implementation schedules, disaster recovery, and business continuity plans • Architect end-to-end AI solutions using Azure OpenAI, Azure Machine Learning, Cognitive Services, and Azure Synapse Analytics • Define scalable AI architectures for real-time analytics, predictive modeling, and intelligent automation • Integrate AI models into enterprise applications, DevOps pipelines, and data pipelines • Establish and manage MLOps practices using Azure DevOps, AKS, and Azure Container Registry • Use AI tooling for DevOps automation, infrastructure monitoring, anomaly detection, and predictive capacity planning • Develop reusable AI architecture patterns and reference implementations • Ensure AI systems meet performance, security, and compliance standards, including ISO 27001 and NIST • Stay current with emerging AI technologies and Azure platform updates • Lead technical design sessions and guide engineering teams through implementation phases • Facilitate meetings with senior management and executive stakeholders • Collaborate with clients as a trusted advisor to improve IT Cloud Operations • Lead teams and cross-team meetings across practices • Provide technical mentorship to platform engineers, AI engineers, and developers • Develop executive-level client relationships and engage senior technology decision-makers on agility, AI value, and business transformation

🎯 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 • 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 • Microsoft Certified: Azure Solutions Architect Expert • Microsoft Certified: Azure AI Engineer Associate

🏖️ 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) • Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.