ZipRecruiter

Log In

1

Ai Coding Jobs in Illinois (NOW HIRING)

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Leads the development of AI agentic SDLC workflows - autonomous and human-in-the-loop agents that accelerate code generation, PR review, test authoring, vulnerability remediation, and deployment ...

Cna

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Leads the development of AI agentic SDLC workflows - autonomous and human-in-the-loop agents that accelerate code generation, PR review, test authoring, vulnerability remediation, and deployment ...

Amplify HR

AI Development Engineer

Northbrook, IL · Hybrid

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Qualifications Three to five years of AI engineering experience with focus on complex math and numbers based decision modeling Expert proficiency with AI coding tools such as Claude Code and ChatGPT.

APC Integrated Services

AI Engineering Lead

Columbia, IL · On-site

$110K - $150K/yr

Champion and drive adoption of AI coding assistants (e.g., Claude Code, GitHub Copilot) across the development team to accelerate coding, code review, testing, and documentation. Establish best ...

JLL

Staff Forward Deployed Engineer

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will use modern AI coding assistants day-to-day to design and implement solutions, and you're expected to be fluent extending that toolset - building custom plugins/skills, redesigning data ...

Cyclotron, Inc.

AI Architect

Chicago, IL · On-site +1

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

More than the usual architect role, we are looking for someone visibly, obviously engaged with this space: you have been building real agentic solutions, you ship with AI coding tools, and you have ...

Alight Solutions

AI Engineer- Virtual

Deerfield, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

An MCP server that serves a skills registry to AI coding agents right in the IDE * Reusable agent patterns in LangGraph: multi-agent orchestration, memory, tool-use safety, and guardrails * An agent ...

Alight Solutions

AI Engineer- Virtual

Deerfield, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

An MCP server that serves a skills registry to AI coding agents right in the IDE * Reusable agent patterns in LangGraph: multi-agent orchestration, memory, tool-use safety, and guardrails * An agent ...

Alight Solutions LLC

AI Engineer- Virtual

Deerfield, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

An MCP server that serves a skills registry to AI coding agents right in the IDE * Reusable agent patterns in LangGraph: multi-agent orchestration, memory, tool-use safety, and guardrails * An agent ...

previous pagenext page

Showing results 21-40

All JobsAi Coding JobsAi Coding Jobs in Illinois

Ai Coding information

See Illinois salary details

$13

$31

$52

How much do ai coding jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai coding in Illinois is $32.00, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $38.65 per hour, depending on experience, location, and employer.

What is an AI coding?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What does an AI coder do?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What skills and qualifications are needed for AI coding?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing relevant education, such as a degree in computer science or related fields, and working on AI projects or internships can also help build practical experience.

What are the most commonly searched types of Ai Coding jobs in Illinois?

The most popular types of Ai Coding jobs in Illinois are:

What are popular job titles related to Ai Coding jobs in Illinois?

For Ai Coding jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Ai Coding jobs in Illinois look for?

The top searched job categories for Ai Coding jobs in Illinois are:

What cities in Illinois are hiring for Ai Coding jobs?

Cities in Illinois with the most Ai Coding job openings:

Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Illinois as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $66,556 per year, or $32 per hour.

Senior AI Software Engineer

CNA

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Re-posted 27 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.
Senior individual contributor on the Developer Experience (DevX) platform team, responsible for designing, building, and operating an AI-native software delivery platform across five capability domains: FeedBack (AI intelligence, observability, DORA metrics), Enterprise Enablement (Internal Developer Portal, golden-path onboarding), Build & Delivery (CI/CD/CT, GitHub Actions, ArgoCD, Harness), Safety / Application Security (Veracode, SonarCloud, JFrog Xray, supply-chain security), and App Accelerator (container base images, dev containers, starter app templates). Leads the development of AI agentic SDLC workflows - autonomous and human-in-the-loop agents that accelerate code generation, PR review, test authoring, vulnerability remediation, and deployment across engineering teams - in direct support of the platform's north-star goal of taking a developer from template selection to a running pre-production application in 10 minutes or less. Acts as a force multiplier for DevX, partnering with platform, security, container, and product engineering to embed AI assistance into every stage of the SDLC.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Own and evolve the Internal Developer Platform (Harness IDP) - self-service catalog, scaffolding templates, and golden-path workflows targeting the platform's north-star goal: developer selects a template and has an application deployed to pre-production in 10 minutes or less.

  • Architect and own CI/CD/CT pipelines on GitHub Actions, ArgoCD, and Harness across the Build & Delivery domain; design for reliability, security, and progressive delivery - able to design and operate end-to-end, not just configure.

  • Design and build AI agentic SDLC workflows: event-driven agents that autonomously perform code generation, PR review, test authoring, Veracode vulnerability auto-remediation, SonarCloud gate enforcement, and release orchestration across the delivery pipeline.

  • Implement evaluation frameworks for agentic systems (Arize, Phoenix, or equivalent) - define ground truth datasets, regression suites, guardrails, and online/offline evals to ensure AI agents operating inside the SDLC remain safe, accurate, and auditable.

  • Drive supply-chain security inside the Application Security domain: integrate SBOM generation (JFrog Xray, Syft, or Anchore) into delivery pipelines, contribute to the Binary Authorization and container image hardening initiative for Kubernetes workloads, and design automated policy gates and remediation flows.

  • Contribute to the App Accelerator domain - maintain and evolve container base images, dev container definitions, and starter app templates so that golden-path scaffolded applications are current, secure, and ready for AI-assisted development from day one.

  • Operate feature flag and progressive-delivery platforms (LaunchDarkly, Unleash, GCP-native, or equivalent); design kill-switches, canary patterns, and safe rollout strategies that protect production while enabling continuous delivery.

  • Embed observability (Datadog, Dynatrace, Elastic, or equivalent) into platform services and delivery pipelines across the FeedBack domain; own DORA metric instrumentation (deployment frequency, lead time, change failure rate, MTTR) and Application Health dashboards used to measure 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 make AI-assisted development repeatable and safe at enterprise scale; contribute to the Code Quality as a Service offering alongside Veracode and SonarCloud.

  • Mentor engineers across the DevX and App Accelerator teams; act as a technical consultant for platform adoption, agentic AI patterns, and delivery best practices.

  • Partner with security, infrastructure, architecture, and product engineering counterparts on platform direction, roadmap, and architectural standards; represent DevX in cross-team initiatives spanning container governance, GitHub security controls, and CI/CD policy.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
Required
  • 7+ years in platform engineering with deep CI/CD pipeline ownership in a regulated, enterprise-scale environment (insurance, financial services, or equivalent).

  • Hands-on with GitHub Actions, ArgoCD, Harness, or comparable CD platforms - able to design and operate end-to-end, not just configure.

  • Proficient using AI coding tools (Claude Code, Cursor, GitHub Copilot, or equivalent) in an AI-native SDLC workflow; experience building guardrails and adoption patterns for these tools at team or enterprise scale.

  • Direct experience building or operating an Internal Developer Platform (Harness IDP, Backstage, Port) with a self-service catalog, golden-path scaffolding, and measurable time-to-value metrics (e.g., time to first deployment).

  • Feature flags and progressive-delivery experience (LaunchDarkly, Unleash, GCP-native, or equivalent) including kill-switch design and canary rollout patterns.

  • SBOM and supply-chain integration experience (JFrog Xray, Syft, Anchore) inside a delivery pipeline, including Binary Authorization or equivalent container image hardening and policy-gate design.

  • Hands-on with observability platforms (Datadog, Dynatrace, Elastic, or equivalent); able to instrument DORA metrics, define SLOs, and build actionable engineering-performance dashboards.

  • Familiarity with SAST/DAST tooling (Veracode, SonarCloud, or equivalent) in an enterprise pipeline context - ideally including automated triage or remediation workflows.

  • Experience designing and building event-driven AI agents that autonomously complete SDLC tasks, and building evals for agentic systems using Arize, Phoenix, or equivalent.

  • Strong analytical and problem-solving skills; excellent communication and interpersonal skills; able to work effectively with engineers, IT leadership, security, and business stakeholders.

  • Demonstrated ability to lead platform initiatives, drive cross-team adoption, and mentor engineers.

Preferred
  • Insurance or financial-services industry background; familiarity with regulatory and compliance requirements for software delivery.

  • Experience with security-as-code, OPA/Rego policy authoring, or compliance-automation pipelines (e.g., GitHub governance at scale, branch protection policy-as-code).

  • Hands-on with container base image pipelines, dev container standards, or starter app template frameworks.

  • Open-source contributions to platform engineering, developer tooling, or AI-agent projects.

Education & Experience
  • Bachelor's degree in Computer Science or related discipline, or equivalent work experience.

  • Minimum of 7 years of platform and software engineering experience, including direct ownership of enterprise CI/CD pipelines in a regulated industry.

  • Previous technical leadership experience on platform, developer-tooling, or AI-engineering initiatives.

  • Applicable certifications preferred (e.g., GitHub Actions, Kubernetes, cloud provider, or Harness certifications).

  • #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 $72,000 to $141,000 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

Apply