1

Azure Ai Engineer Jobs in Alabama (NOW HIRING)

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role ... Deploy and monitor AI models across Azure services with robust telemetry for performance, drift ...

Data, Analytics & AI Engineer

Birmingham, AL ยท On-site

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric ...

AI Solutions Developer About Continental: Continental Aerospace Technologiesโ„ข has been a leader ... Integrate Microsoft 365, Azure AI, and Power Platform capabilities to support process improvement ...

On-Site Description Seeking an AI Engineer with a strong background in data analytics and product ... Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred)

On-Site Description Seeking an AI Engineer with a strong background in data analytics and product ... Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred)

Collaborate with data engineering teams to optimize data infrastructure. * Support AI product ... Knowledge of cloud platforms(AWS, Azure, or GCP) for model deployment and data storage (preferred)

Collaborate with data engineering teams to optimize data infrastructure. * Support AI product ... Knowledge of cloud platforms(AWS, Azure, or GCP) for model deployment and data storage (preferred)

next page

Showing results 1-20

Azure Ai Engineer information

See Alabama salary details

$23

$48

$69

How much do azure ai engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for azure ai engineer in Alabama is $48.61, according to ZipRecruiter salary data. Most workers in this role earn between $39.23 and $56.44 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure's AI services, machine learning, and data management. The role often requires knowledge of Azure tools, programming skills, and certifications, making it a valuable and sought-after position in the tech industry.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the most commonly searched types of Azure Ai Engineer jobs in Alabama? The most popular types of Azure Ai Engineer jobs in Alabama are:
Infographic showing various Azure Ai Engineer job openings in Alabama as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $101,110 per year, or $48.6 per hour.

DevSecOps Engineer (Azure/AI)

Zaden Technologies, Inc.

Huntsville, AL โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Zaden Technologies, Inc. is dedicated to simplifying software delivery and enhancing its utility for customers. They are seeking a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within defense programs, focusing on Azure compliance and managed service adoption.
Responsibilities:
โ€ข Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations
โ€ข Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm
โ€ข Author and maintain Terraform modules for Azure infrastructure automation
โ€ข Integrate Entra ID and Keycloak for secure access management and authentication
โ€ข Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries
โ€ข Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements
โ€ข Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies
โ€ข Collaborate with cross-functional teams to deliver scalable and secure cloud solutions
Qualifications:
Required:
โ€ข U.S. Citizenship and a security clearance (secret or above)
โ€ข 5+ years of DevSecOps or Cloud engineering experience with Azure focus
โ€ข Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation
โ€ข Strong troubleshooting and problem-solving skills
โ€ข Self-starter with ability to work independently and drive initiatives
โ€ข Comfortable administering and securing Linux systems
โ€ข Solid understanding of networking principles and cloud security architectures
Preferred:
โ€ข Experience deploying workloads at DoD IL4/IL5 impact levels
โ€ข Hands-on experience with RHEL and RHEL-based Linux distributions
โ€ข Familiarity with Windows Server administration and automation
โ€ข Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert)
โ€ข Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms
โ€ข Knowledge of GitOps workflows and tools (FluxCD, ArgoCD)
โ€ข Experience with identity and access management solutions (Entra ID, Keycloak)
โ€ข Understanding of DoD Cloud Computing Security Requirements Guide (SRG)
Company:
Zaden Technologies builds AI and cloud products that help regulated organizations ship secure, reliable software faster. Founded in 2019, the company is headquartered in Huntsville, USA, with a team of 11-50 employees. The company is currently Early Stage.