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Applied Jobs in Chicago, IL (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 ...

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 21-40

Applied information

See Chicago, IL salary details

$31.9K

$60K

$89.1K

How much do applied jobs pay per year?

As of Sep 6, 2026, the average yearly pay for applied in Chicago, IL is $59,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $68,500.00 per year, depending on experience, location, and employer.

What does an applied job title mean?

The term 'Applied' in a job title typically refers to roles that focus on the practical application of knowledge and skills within a specific field, such as applied science, applied mathematics, or applied engineering. These positions emphasize using theoretical concepts to solve real-world problems or develop practical solutions. For example, an 'Applied Scientist' would use scientific principles to create products or processes that address industry needs. The exact responsibilities will depend on the field and the organization. It's important to review the full job description to understand what 'Applied' means in the specific context.

What are the key skills and qualifications needed to thrive as an applied scientist, and why are they important?

To thrive as an Applied Scientist, you need a strong background in mathematics, statistics, and programming, usually supported by an advanced degree in a relevant field like computer science, engineering, or data science. Familiarity with tools such as Python, R, SQL, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with big data platforms are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills that distinguish top performers in this role. These skills are crucial for developing innovative solutions, collaborating across teams, and translating complex data insights into actionable business strategies.

What are some typical challenges faced by professionals in applied research roles, and how can they be addressed?

Professionals in applied research roles often encounter challenges such as bridging the gap between theoretical findings and practical implementation, managing cross-disciplinary collaborations, and adapting to rapidly evolving technologies. Overcoming these challenges typically involves strong communication skills to translate complex ideas, flexibility to pivot research direction based on stakeholder needs, and a willingness to continually learn new tools and methods. Building collaborative relationships with both technical and non-technical team members can also help ensure that research outcomes are effectively integrated into real-world applications.

What is the difference between Applied vs Data Analyst?

AspectAppliedData Analyst
Required CredentialsTypically a degree in applied sciences, engineering, or related fieldsUsually a degree in statistics, mathematics, or data science
Work EnvironmentHands-on, practical settings such as labs, manufacturing, or fieldworkOffice-based, focused on data interpretation and reporting
Industry UsageCommon in engineering, manufacturing, and applied sciencesPrevalent in finance, marketing, healthcare, and tech
Comparison IntentApplied focuses on practical implementation and real-world problem solvingData Analyst emphasizes data analysis, visualization, and insights

Applied roles involve practical application of scientific principles in real-world settings, while Data Analysts focus on interpreting data to inform decisions. Both roles require analytical skills but differ in work environment and industry focus.

What job categories do people searching Applied jobs in Chicago, IL look for?

The top searched job categories for Applied jobs in Chicago, IL are:

Infographic showing various Applied job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $59,952 per year, or $28.8 per hour.

Applied AI Architect

Neshent Technologies

Ridgefield, IL • On-site

Full-time

Posted 19 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.