1

Applied Ai Engineer Jobs in Alabama (NOW HIRING)

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the design and delivery of next-generation AI and predictive models that transform financial decision ...

Our Applied AI organization is a fast-moving, dedicated group of Forward Deployed Engineers (FDEs), Industry & Applied AI Specialists, and business strategy leaders committed to establishing Cloudera ...

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 ... Engineering, Statistics, Applied Mathematics, or a related field. Strong experience building ...

Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field. * 5+ years of experience in data engineering, applied AI/ML, or scalable ...

Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field. * 5+ years of experience in data engineering, applied AI/ML, or scalable ...

Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field. * 5+ years of experience in data engineering, applied AI/ML, or scalable ...

Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field. * 5+ years of experience in data engineering, applied AI/ML, or scalable ...

Software & AI Engineer III

Huntsville, AL ยท On-site

$164.65 - $230.51/hr

As a Full Stack Engineer, you will be at the forefront of software development, building robust ... Applied experience (professional or personal) showcasing strong full-stack development skills.* A ...

next page

Showing results 1-20

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

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

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

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

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

What cities in Alabama are hiring for Applied Ai Engineer jobs?

Cities in Alabama with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Alabama as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Full-time

Re-posted 2 days ago


Job description

INTUITIVEยฎ is a nationally recognized Best Place to Work that provides solutions from design through production to sustainment by delivering targeted results. Our approach couples the latest technology with engineering expertise and analytical proficiency while remaining true to genuine customer relationships and a culture that fosters growth and opportunity. Our diverse portfolio of capabilities and extensive customer base allows our employees countless opportunities to pursue their passions and support our nation's Warfighters. Join our team that encourages creativity, welcomes initiative, and seeks excellence. Start Building Your Future today!
We are seeking an Applied AI Engineer to design, build, and deploy production-ready AI solutions with a focus on agentic workflows and autonomous orchestration. In this role, you will work across the full lifecycle of AI system development, including requirements definition, data processing, algorithm integration, application development, deployment, and optimization. You will develop AI-enabled applications and services that leverage modern machine learning techniques, large language models (LLMs), and scalable cloud-based architectures to solve complex, multi-step reasoning tasks.
You will be responsible for building API-driven services, implementing Retrieval-Augmented Generation (RAG) pipelines, and deploying containerized applications across cloud and on-premise environments. Success in this role requires strong software engineering skills, a deep understanding of agentic design patterns, and the ability to communicate complex technical solutions effectively within a collaborative, fast-paced, and highly regulated environment.
Required
  • BS Degree in Computer Science, Engineering, or a related technical field
  • 3 years of related experience
  • Proficiency in Python
  • Experience building, deploying, and maintaining secure REST APIs
  • Experience with Docker and containerized application deployment
  • Experience building AI agents and advanced RAG pipelines, including tool integration, reasoning loops, and data retrieval across database types (e.g., SQL, vector, document, graph).
  • Familiarity with multi-agent architecture patterns
  • Must have the ability to obtain and maintain a security clearance

Desired
  • Experience working with LLMs across the full lifecycle, from integration and orchestration to fine-tuning, distillation, and prompt/system design
  • Experience deploying AI solutions in secure or regulated cloud environments (e.g., Azure GCC High, AWS GovCloud, or equivalent)
  • Experience designing human-in-the-loop workflows that blend AI decision support with expert oversight.
  • Ability to translate stakeholder needs into technical requirements and produce clear engineering documentation for both technical and non-technical audiences.
  • Familiarity with multi-agent architecture patterns
  • Experience with Model Context Protocol (MCP) or API workflows designed for AI tool-calling.

Disability Accommodation for Applicants - Intuitive Research and Technology Corporation is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment at INTUITIVE hr@irtc-hq.com or 256-922-9300. Our process is to respond and to work with the requestor to identify a workable accommodation to the application process.