Azure Practice Architect - AI/ML (Full-Time Remote)

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.

Role Overview

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.

Key Responsibilities

• 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

Job Requirements & Qualifications

Education & Experience

• 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

Job Type & Location

This is a Permanent position based out of Dallas, TX.

Pay and Benefits

The pay range for this position is $156000.00 - $234000.00/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 8, 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.