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Ai Infrastructure Jobs in Alabama (NOW HIRING)

KBR, Inc.

Ai Platform Architect

Huntsville, AL · On-site

Lead the architecture, deployment, and sustainment of networking infrastructure supporting classified AI and DevSecOps environments. * Utilize existing and future High Performance Computing Hardware ...

KBR

Ai Platform Architect

Huntsville, AL

Lead the architecture, deployment, and sustainment of networking infrastructure supporting classified AI and DevSecOps environments. * Utilize existing and future High Performance Computing Hardware ...

CBRE

General Construction Pathway

Montgomery, AL · On-site

$25/hr

This paid training program prepares you for a full-time career helping build America's AI infrastructure No previous construction experience is required. We'll teach you everything you need to ...

Teledyne FLIR LLC

Platform Engineer

Huntsville, AL · On-site

AI Infrastructure Support: Support and maintain infrastructure for in-house Artificial Intelligence efforts based on Red Hat AI on OpenShift and Poolside.ai. Required Qualifications & Skills

Teledyne

Platform Engineer

Huntsville, AL · On-site

AI Infrastructure Support: Support and maintain infrastructure for in-house Artificial Intelligence efforts based on Red Hat AI on OpenShift and Poolside.ai. Required Qualifications & Skills

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See Alabama salary details

$25

$53

$79

How much do ai infrastructure jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ai infrastructure in Alabama is $53.64, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $62.55 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

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

What job categories do people searching Ai Infrastructure jobs in Alabama look for?

The top searched job categories for Ai Infrastructure jobs in Alabama are:

What cities in Alabama are hiring for Ai Infrastructure jobs?

Cities in Alabama with the most Ai Infrastructure job openings:

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Alabama as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $111,579 per year, or $53.6 per hour.

AI Infrastructure Engineer

Interactive Process Technology LLC

Huntsville, AL • On-site

$120 - $150/hr

Other

Posted 11 days ago

Job description

AI Infrastructure Engineer

Redstone Arsenal/Huntsville, AL

Job Description

At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that actually make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.

Our Team

At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.

Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.

We're looking for people who:

  • Are curious and excited about technology
  • Like solving problems and figuring things out
  • Can take initiative but also enjoy working with a team
  • Want to keep learning, growing, and challenging themselves

If you're someone who is eager to jump in, learn something new, and make an impact—you'll fit right in here.

Responsibilities Include, But Are Not Limited To
  • Provide support to teams developing or assessing AI-enabled applications and tools.
  • Advise on technical approaches for AI application design, prototyping, integration, and evaluation.
  • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.
  • Support the review of architectures, development approaches, model usage patterns, and technical risk areas.
  • Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.
  • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.
  • Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.
  • Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.
  • Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.
  • Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.
Job Requirements and Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field
  • 10 years of Enterprise IT experience
  • Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.
  • Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows.
  • Experience with software development fundamentals, APIs, data handling, and system integration.
  • Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.
  • Strong written and verbal communication skills.
  • Active Security Clearance Required.
Desired Qualifications
  • Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
  • Exposure to model hosting, inference pipelines, or cloud-based AI development environments.
  • Understanding of secure AI development practices, data protection, and operational constraints in government settings.
  • Experience supporting defense, cyber, intelligence, or mission application development.
  • Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.
  • Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.
  • Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.

IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.

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