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Applied Engineering Technology Jobs in Chicago, IL

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... Work closely with engineering and business teams to build and deploy AI models. * Design and ...

New

Showing results 21-40

Applied Engineering Technology information

See Chicago, IL salary details

$14

$33

$55

How much do applied engineering technology jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for applied engineering technology in Chicago, IL is $33.90, according to ZipRecruiter salary data. Most workers in this role earn between $26.01 and $39.66 per hour, depending on experience, location, and employer.

What is applied engineering technology?

Applied engineering technology is a field that focuses on the practical application of engineering principles and technical skills to solve real-world problems in industries such as manufacturing, construction, and product design. Professionals in this field use their knowledge of science, math, and technology to develop, test, and improve processes, systems, and equipment. Unlike traditional engineering, which may emphasize theory and design, applied engineering technology centers on implementation, operation, and maintenance. This makes graduates highly valuable for roles that bridge the gap between engineers and technicians.

What are the key skills and qualifications needed to thrive as an applied engineering technologist?

To thrive as an Applied Engineering Technologist, you need a solid background in engineering principles, problem-solving, and project management, typically supported by a bachelor’s degree in applied engineering technology or a related field. Familiarity with CAD software, PLC programming, and quality control systems is often required, along with relevant certifications like Six Sigma or Lean Manufacturing. Strong analytical thinking, teamwork, and effective communication are crucial soft skills that distinguish top performers. These competencies ensure efficient design, troubleshooting, and implementation of technical solutions in dynamic industrial environments.

What are some common challenges faced by professionals in applied engineering technology, and how can they be addressed?

Professionals in Applied Engineering Technology often encounter the challenge of bridging the gap between theoretical engineering concepts and practical, real-world implementation. This can involve troubleshooting unexpected technical issues, adapting to rapidly evolving technologies, and collaborating with cross-functional teams such as design, manufacturing, and quality assurance. To address these challenges, it's important to continually develop hands-on skills, stay updated on industry advancements, and maintain strong communication within multidisciplinary teams. Proactively seeking professional development opportunities and building problem-solving skills are also key to success in this field.

What is the difference between Applied Engineering Technology vs Mechanical Engineering?

AspectApplied Engineering TechnologyMechanical Engineering
CredentialsAssociate's or Bachelor's in Engineering TechnologyBachelor's or higher in Mechanical Engineering
Work EnvironmentPractical, hands-on roles in manufacturing, maintenance, and technical supportTheoretical and design-focused roles in design, research, and development
Employer & IndustryManufacturing, industrial firms, technical servicesDesign firms, aerospace, automotive, research institutions

Applied Engineering Technology and Mechanical Engineering share overlapping skills and work environments, but Applied Engineering Technology emphasizes practical application and technical support, while Mechanical Engineering focuses on design and theoretical analysis. Both roles are vital in industry, with the former often serving as a bridge between engineering concepts and real-world implementation.

Infographic showing various Applied Engineering Technology job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $70,518 per year, or $33.9 per hour.

Applied AI Architect

Neshent Technologies

Schiller Park, IL • On-site

Full-time

Posted 2 days ago

New


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.