Description 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. Key Responsibilities: Azure Platform & DevOps Support • 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 AI-Enhanced Capabilities & Tooling: • 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 Collaboration & Professional Development: • 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 deliveryJob Requirements & Qualifications Education & Experience: • 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 • 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 Technical Skills: • 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 • Exposure to data engineering tools such as Azure Data Factory or Databricks is a plus • Awareness of security and governance frameworks (e.g., ISO 27001, NIST) • Familiarity with Microsoft’s Cloud Adoption Framework and cloud enablement concepts Professional Skills: • 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 Certifications: Preferred: • Microsoft Certified: Azure Fundamentals (AZ-900) • Microsoft Certified: Azure Administrator Associate (AZ-104) • Microsoft Certified: Azure AI Fundamentals (AI-900) Nice to Have: • 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 Career Growth: The Practice Architect I role is designed as a launching pad for a long-term career within TEKsystems Global Services. High performers in this role will have clear pathways to advance to the AI Enhanced Azure Platform Practice Architect II level and beyond, with access to mentorship from senior architects, sponsored certification programs, and exposure to a wide range of enterprise client environments. Skills Architecture, Cloud Top Skills Details Architecture Additional Skills & Qualifications -Python -Javascript Experience Level Entry Level Job Type & Location This is a Permanent position based out of Hanover, MD. Pay and Benefits The pay range for this position is $136000.00 - $204000.00/yr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: • 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) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Sep 30, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.