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Applied Ai Jobs (NOW HIRING)

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

Who We're Seeking Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied AI, and Change Management to join our growing Applied AI practice. In this role, you will lead ...

Applied AI Engineer

San Francisco, CA ยท On-site

$165K - $220K/yr

Reporting to the Director, Applied AI, you will work on practical, high-impact problems such as collecting and interpreting clinical documents, automating intake and prior authorization work ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

Showing results 41-60

Applied Ai information

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$24.5K

$111.6K

$211.5K

How much do applied ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for applied ai in the United States is $111,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an applied AI?

An Applied AI job focuses on implementing artificial intelligence solutions to solve real-world problems in industries like healthcare, finance, and manufacturing. Professionals in this role work with machine learning models, data pipelines, and AI systems to enhance automation and decision-making. They collaborate with engineers, data scientists, and business teams to integrate AI into products and services. Strong programming, data analysis, and problem-solving skills are essential for success in this field.

What are the typical responsibilities and team dynamics in an applied AI position?

Professionals in Applied AI typically work on designing and deploying machine learning models to solve business problems, collaborating closely with data engineers, domain experts, and product managers. Daily tasks often include data cleaning, model development, algorithm selection, and integrating AI solutions into existing workflows or products. Applied AI specialists may participate in regular meetings to discuss project progress, share insights from data analysis, and refine requirements based on feedback. The work environment is usually fast-paced and collaborative, with frequent opportunities to present findings and contribute directly to innovative product features or business strategies.

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

To thrive in an Applied AI role, you need a strong background in machine learning, data science, mathematics, and programming, often supported by a relevant degree such as computer science or engineering. Proficiency with tools like Python, TensorFlow, PyTorch, and cloud computing platforms is essential, and certifications in AI or data science can be beneficial. Excellent problem-solving, communication, and teamwork skills help drive successful implementation of AI solutions in real-world business contexts. These abilities are crucial for bridging technical expertise with practical applications, ensuring impactful, reliable, and scalable AI outcomes.

How to get a job in applied AI?

To get a job in applied AI, develop strong skills in machine learning, programming (such as Python), and data analysis. Gaining experience through projects, internships, or certifications in AI frameworks like TensorFlow or PyTorch can improve your prospects, along with a relevant degree in computer science, data science, or related fields.
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Cities with the most Applied Ai job openings:

What are the most commonly searched types of Applied Ai jobs?

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Infographic showing various Applied Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $111,608 per year, or $53.7 per hour.

Applied AI Architect

Buffalo Grove, IL โ€ข On-site

Neshent Technologies
11 - 50 employees

Full-time

Posted 22 days ago


Job description

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems.

Must-Have Technical Skills
  • Strong hands-on experience in AI/ML development and production deployment.
  • Experience with Databricks, MLflow, Unity Catalog, Delta Lake, and model serving.
  • Experience with Azure AI Foundry and modern AI/ML platforms.
  • Strong knowledge of RAG and LLM application architecture.
  • Experience building multi-agent systems and workflows.
  • Experience with MCP/tool calling and frameworks such as LangGraph, Semantic Kernel, or OpenAI Agents SDK.
  • Strong Python development skills for production AI/ML applications.
  • Experience with CI/CD, MLOps, and AIOps.
  • Knowledge of LLM/RAG/agent evaluation, observability, tracing, and monitoring.
  • Experience with production debugging and performance optimization.
  • Ability to create reusable AI accelerators, templates, skills, and reference implementations.
Roles & Responsibilities
  • Define and implement AI/ML architecture and solutions.
  • Work closely with engineering and business teams to build and deploy AI models.
  • Design and develop LLM, RAG, and multi-agent solutions.
  • Establish best practices for AI evaluation, deployment, monitoring, and production support.
  • Improve and standardize applied AI delivery patterns.
  • Accelerate AI adoption through reusable components, templates, and reference architectures.
  • Provide technical leadership and guidance to AI/ML engineering teams.