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Applied Ai Engineer Jobs in Alabama (NOW HIRING)

Applied AI Engineer

Huntsville, AL ยท On-site

$110 - $140/hr

Document assumptions, limitations, model behavior, and technical tradeoffs for engineering and customer audiences What we're looking for * Experience building applied AI, machine learning, data ...

New

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

  • PTO

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

$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 ...

Forward Deployed Engineer

Huntsville, AL ยท Hybrid

  • Medical

  • Dental

  • Vision

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 ...

Forward Deployed Engineer

Huntsville, AL ยท Hybrid

  • Medical

  • Dental

  • Vision

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 ...

Forward Deployed Engineer

Huntsville, AL ยท On-site

  • Medical

  • Dental

  • Vision

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 ...

Forward Deployed Engineer

Huntsville, AL ยท On-site

  • Medical

  • Dental

  • Vision

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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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 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Applied AI Engineer

Ingenix Technologies LLC

Huntsville, AL โ€ข On-site

$110 - $140/hr

Other

Posted yesterday

New


Job description

Huntsville, AL (Hybrid) Full-Time Ability to obtain a Secret clearance required

Build practical AI capabilities for defense simulation, training, analysis, and decision-support applications. You'll apply machine learning, LLMs, retrieval, optimization, and automation techniques to real engineering problems rather than research demos alone.

What you'll do
  • Develop AI-enabled software features using Python and modern machine learning or LLM frameworks
  • Build prototypes and production-oriented tools for simulation, training, analysis, or workflow automation
  • Design data pipelines, evaluation methods, and experiments to measure model performance and usefulness
  • Apply techniques such as retrieval-augmented generation, NLP, computer vision, planning, or optimization where appropriate
  • Integrate AI capabilities with existing software systems, databases, APIs, and user interfaces
  • Document assumptions, limitations, model behavior, and technical tradeoffs for engineering and customer audiences
What we're looking for
  • Experience building applied AI, machine learning, data science, or automation software in Python
  • Familiarity with modern AI/ML workflows, model evaluation, data preparation, and software integration
  • Ability to turn ambiguous operational or technical problems into testable AI-enabled prototypes
  • Strong software engineering fundamentals and ability to communicate technical tradeoffs clearly
  • US Citizenship and ability to obtain a Secret clearance
Nice to have
  • Experience with LLMs, RAG, NLP, computer vision, autonomy, planning, optimization, or simulation evaluation
  • Familiarity with PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, vector databases, or related tools
  • Experience with defense, aerospace, training systems, digital engineering, or cyber applications
  • Experience deploying AI tools into secure, offline, edge, or government environments
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