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Azure Ai Engineer Jobs in Alabama (NOW HIRING)

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)

AI Engineer

Birmingham, AL ยท On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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Azure Ai Engineer information

See Alabama salary details

$23

$48

$69

How much do azure ai engineer jobs pay per hour?

As of Aug 16, 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:

What are popular job titles related to Azure Ai Engineer jobs in Alabama?

For Azure Ai Engineer jobs in Alabama, the most frequently searched job titles are:

Infographic showing various Azure Ai Engineer job openings in Alabama as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $101,110 per year, or $48.6 per hour.

Data, Analytics & AI Engineer

Deploy

Birmingham, AL โ€ข On-site

$107K - $128K/yr

Full-time

Re-posted 11 days ago


Job description

Data, Analytics & AI Engineer

Help Build the Future of Data, Analytics & AI

Are you passionate about data engineering, analytics, and artificial intelligence?

Do you love solving complex business problems while working with cutting-edge technology?

If so, this is an opportunity to make a real impact.

Our client is looking for a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform.

This is a highly visible, hands-on role where you'll work at the intersection of data engineering, business intelligence, analytics, and AI, creating intelligent solutions that drive smarter decisions and automate business processes across the organization.

You'll help build scalable data pipelines, develop powerful analytics, and create AI-enabled and agentic workflows that improve efficiency, generate insights, and transform how the business operates. You'll also play a key role in the organization's exciting transition to Microsoft Fabric, helping shape the future of its data ecosystem.

If you're someone who enjoys building things, learning new technologies, and bringing AI into real-world business applications, we'd love to talk to you.

What You'll Do

Build Modern Data Platforms

Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.

Integrate data from ERP, EHS, operational, and enterprise systems.

Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and Warehouse architectures.

Ensure high levels of data quality, performance, governance, and reliability.

Help establish best practices and architecture standards for the next generation data platform.

Deliver Powerful Analytics

Build interactive dashboards, semantic models, and reports using Power BI.

Partner with business leaders to translate business questions into actionable KPIs and analytics.

Enable self-service reporting through well-designed datasets and documentation.

Turn raw data into meaningful business insights.

Drive AI Innovation

Design, prototype, and deploy AI and Machine Learning solutions.

Build intelligent workflows that automate multi-step business processes using AI and agentic technologies.

Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics.

Champion responsible AI adoption across the organization.

Identify opportunities where AI can improve forecasting, anomaly detection,

classification, automation, and decision-making.

Collaborate Across the Business

Partner with IT, Security, DevOps, and business leaders to deliver secure, scalable solutions.

Work closely with cross-functional teams and affiliate companies on strategic initiatives.

Manage projects with measurable business outcomes and clear success metrics.

Innovate Continuously

Evaluate emerging technologies in data, analytics, and AI.

Recommend improvements that create measurable business value.

Foster a culture of innovation, experimentation, and data-driven decision making.

What We're Looking For

Required Qualifications

Bachelor's degree (or higher) in Computer Science, Data Science, Engineering,

Statistics, Applied Mathematics, or a related field.

Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar integration tools.

Excellent SQL skills with experience designing relational data models.

Experience with Azure SQL Database or similar database technologies.

Hands-on experience building Power BI semantic models, dashboards, and reports.

Programming experience with Python, including notebooks and data engineering workflows.

Practical experience applying AI and Machine Learning to solve real business challenges.

Strong analytical and problem-solving skills.

Ability to communicate technical concepts to both technical and non-technical audiences.

Curious, self-motivated, and excited about learning new technologies.

Bonus Points If You Have

Experience with Microsoft Fabric, including Lakehouse, Warehouse, Notebooks,

Real-Time Analytics, and AI workloads.

Familiarity with agentic AI, workflow orchestration, or intelligent automation platforms.

Experience supporting enterprise data platforms in regulated or security-conscious environments.

Knowledge of modern data architecture, including ELT, semantic layers, governance, and data lineage.

Experience working in large, multi-company, or distributed enterprise environments.

A customer-first mindset with the ability to build strong relationships across the business.

Why You'll Love This Opportunity

Work on meaningful projects using the latest AI and analytics technologies.

Help shape the future of a rapidly evolving enterprise data platform.

Play a key role in an organization's Microsoft Fabric transformation.

Collaborate with talented business and technology leaders.

Build solutions that directly influence strategic business decisions.

Be part of a culture that embraces innovation, experimentation, and continuous learning.

If you're excited about building modern data platforms, leveraging AI to solve real business problems, and making a measurable impact, we'd love to hear from you.