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Engineering Assistant Jobs in Wheeling, IL (NOW HIRING)

CNA

Principal AI Engineer

Chicago, IL · On-site

Individual contributor providing the highest level of leadership in AI-native engineering, agentic system design, and applied AI solution development across CNA's Underwriting and Operations ...

Cna

Principal AI Engineer

Chicago, IL

Individual contributor providing the highest level of leadership in AI-native engineering, agentic system design, and applied AI solution development across CNA's Underwriting and Operations ...

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

Applicable certifications preferred (Google Cloud Platform, Data Engineering). #LI-KJ1 #LI-HYBRID In certain jurisdictions, CNA is legally required to include a reasonable estimate of the ...

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

Applicable certifications preferred (GCP, Data Engineering). #LI-KJ1 #LI-HYBRID In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role.

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... engineering performance. * Champion adoption of AI coding assistants (Claude Code, Cursor, GitHub Copilot) in an AI-native SDLC; build the guardrails, prompt patterns, and developer workflows that ...

Cna

Senior AI Software Engineer

Chicago, IL

$126K - $166K/yr

... engineering performance. * Champion adoption of AI coding assistants (Claude Code, Cursor, GitHub Copilot) in an AI-native SDLC; build the guardrails, prompt patterns, and developer workflows that ...

Orvix Engineering

Data Entry Assistant

Chicago, IL · On-site

$18 - $27/hr

We are looking for a reliable and detail-oriented Data Entry Assistant to join our growing team at Orvix Engineering . The Data Entry Assistant will be responsible for accurately entering, updating ...

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$72K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... This role combines hands-on engineering, architecture, and governance, ensuring AI solutions are ...

Cna

Senior AI Software Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... This role combines hands-on engineering, architecture, and governance, ensuring AI solutions are ...

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$72K - $141K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... This role combines hands-on engineering, architecture, and governance, ensuring AI solutions are ...

HHM Hotels

Assistant Engineer

Schaumburg, IL · On-site

$18 - $20/hr

Potential Career Path Assistant Chief Engineer - Chief Engineer ... Engineering Supervisor- Chief Engineer Essential Functions * Conduct room inspections and identify ...

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All JobsEngineering JobsEngineering Assistant JobsEngineering Assistant Jobs in Wheeling, IL

Engineering Assistant information

See Wheeling, IL salary details

$13

$32

$59

How much do engineering assistant jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for engineering assistant in Wheeling, IL is $32.67, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $39.33 per hour, depending on experience, location, and employer.

What is an engineering assistant?

An engineering assistant provides support to the engineering team on a variety of projects. As an engineering assistant, your job duties include spec reading, research, conducting tests, modifying techniques, and resolving issues. Additional responsibilities as an engineering assistant are to help project engineers design, develop, evaluate, and troubleshoot to accomplish project goals. You work as part of a team in a lab or workshop environment, so a commitment to safety and compliance with regulations is important. Communication skills are also a must for this career.

What are some common challenges engineering assistants face when supporting multiple projects simultaneously?

Engineering Assistants often juggle tasks across several projects, which can present challenges in prioritization and time management. Balancing administrative duties, technical support, and communication with different teams requires strong organizational skills and adaptability. Proactively coordinating with project managers and regularly updating task lists can help manage workloads more effectively and ensure deadlines are met. Developing familiarity with project management software and open communication channels are also key to thriving in this dynamic environment.

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

To thrive as an Engineering Assistant, you need a solid background in engineering principles, technical drawing, and data analysis, usually supported by an associate degree or equivalent technical training. Familiarity with CAD software, Microsoft Office Suite, and project management systems is commonly required. Strong organizational skills, attention to detail, and effective communication help you excel in supporting engineering teams and handling multiple tasks. These skills ensure accurate project documentation, efficient workflows, and seamless collaboration within engineering projects.

What is the difference between Engineering Assistant vs Engineering Technician?

AspectEngineering AssistantEngineering Technician
Required CredentialsAssociate degree or relevant certificationAssociate degree or technical diploma
Work EnvironmentOffice, field, or lab settingsLaboratory, field, or manufacturing environments
Employer & Industry UsageCommon in engineering firms, construction, and manufacturingOften in manufacturing, research, and technical services
Common Search & ComparisonYesYes

Engineering Assistants typically support engineering projects through administrative tasks, data collection, and basic technical work, often working in office or field settings. Engineering Technicians focus more on hands-on technical tasks, testing, and maintaining equipment. Both roles require similar educational backgrounds but differ in daily responsibilities and work environments.

More about Engineering Assistant jobs

What are the most commonly searched types of Engineering jobs in Wheeling, IL?

The most popular types of Engineering jobs in Wheeling, IL are:

What job categories do people searching Engineering Assistant jobs in Wheeling, IL look for?

The top searched job categories for Engineering Assistant jobs in Wheeling, IL are:

What cities near Wheeling, IL are hiring for Engineering Assistant jobs?

Cities near Wheeling, IL with the most Engineering Assistant job openings:

Engineering Assistant jobs near you
Infographic showing various Engineering Assistant job openings in Wheeling, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $67,946 per year, or $32.7 per hour.

Principal AI Engineer

CNA

Chicago, IL • On-site

Full-time

Re-posted 3 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Individual contributor providing the highest level of leadership in AI-native engineering, agentic system design, and applied AI solution development across CNA's Underwriting and Operations portfolio. This position has a deep understanding of AI engineering platforms, large language model (LLM) tooling, and enterprise software delivery from an end-to-end perspective. The focus of this position is designing and scaling AI-enabled solutions that integrate into underwriting workflows, drive measurable business impact, and establish durable AI engineering practices across the organization.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Leads the scaling of AI solutions within the Underwriting portfolio, ensuring AI capabilities developed in product pods are industrialized into reliable, reusable, enterprise-grade services that integrate seamlessly into underwriting and operations workflows.

  • Partners closely with underwriting, operations, and product teams to translate domain-specific workflows into AI-enabled solutions - including submission intake, risk triage, data enrichment, pricing signals, and decision support - ensuring alignment to real-world underwriting processes and measurable business impact.

  • Designs AI integration patterns across core underwriting and operations systems - including underwriting workbench platforms and document processing pipelines - ensuring solutions are performant, scalable, and embedded directly into decisioning workflows.

  • Acts as a senior technical mentor, developing engineers across the organization in AI-native practices including agentic coding patterns, context engineering, prompt-to-code workflows, and AI-assisted testing. Builds durable, self-sustaining team capability without ongoing coaching dependency.

  • Establishes patterns for AI governance, explainability, and auditability in underwriting use cases, ensuring AI-driven decisions meet regulatory, compliance, and internal risk management expectations.

  • Drives reusability and cross-business-unit scalability of AI solutions, designing capabilities that can be leveraged across underwriting segments while accounting for differences in data, workflows, and risk profiles.

  • Researches, evaluates, and recommends AI engineering tools, frameworks, and infrastructure (e.g., eval platforms, agent orchestration systems, environment provisioning automation), supporting build-vs-buy decisions with a focus on long-term scalability and maintainability.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Expert knowledge of AI-native engineering practices, including agentic system design, LLM integration, multi-agent orchestration, and context engineering.

  • Deep understanding of enterprise software delivery, including CI/CD pipelines, automated quality gates, cloud-native architecture, and production-grade system design.

  • Strong ability to translate complex business workflows - particularly in commercial insurance underwriting - into reliable, scalable AI-enabled solutions.

  • Demonstrated ability to advise on AI governance, model explainability, and regulatory compliance considerations in high-stakes or regulated environments.

  • Excellent analytical and problem-solving skills with the ability to evaluate build-vs-buy trade-offs and make sound architectural recommendations.

  • Proven ability to mentor and develop engineering talent, raising organizational capability in emerging AI practices.

  • Excellent communication and interpersonal skills with the ability to engage effectively with peers, technical leadership, and non-technical business stakeholders.

  • Working knowledge of the commercial insurance underwriting lifecycle, including submission intake, risk triage and appetite matching, underwriting analysis, and quote-to-bind processes.

  • Ability to translate underwriting judgment and business rules into AI-driven insights, model features, decision frameworks, and explainable outputs that can be trusted and adopted by underwriters.

  • Familiarity with regulatory and governance considerations impacting AI in insurance, including auditability, transparency, and appropriate use of AI in decisioning.

Education & Experience
  • Bachelor's degree in Computer Science, Engineering, or a related field required; Master's degree preferred.

  • Typically a minimum of 10 years of software engineering experience, with at least 3 years in a principal, staff, or architect-level role.

  • Demonstrated experience designing and deploying agentic AI systems or AI-native developer platforms in production environments.

  • Experience in commercial insurance or financial services, with familiarity in underwriting lifecycle processes, preferred.

  • Applicable certifications in AI, cloud, or related disciplines preferred.

#LI-KJ1 #LI-HYBRID
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com

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