Top 10 Companies Hiring AI Engineers in Chicago, IL in 2026

Table of Contents

• Chicago's 2026 AI Job Market
• Walgreens Boots Alliance
• Cboe Global Markets
• Relativity
• Motorola Solutions
• Allstate Arity
• CME Group
• Tempus AI
• Microsoft Chicago Office
• Amazon AWS Chicago Office
• Google Chicago Office
• Frequently Asked Questions

Walgreens Boots Alliance

Headquartered in Deerfield with a major operational footprint in Chicago, Walgreens Boots Alliance applies AI to one of the world's largest physical retail and healthcare networks. The company's "house special" is operational AI at an immense scale, optimizing everything from personalized customer health nudges in the MyWalgreens app to sophisticated supply chain models that keep flu shots and essentials in stock across 9,000+ stores.

Engineers here tackle the unique challenge of deploying reliable models in a fast-moving retail environment, leaning on a tech stack of Python, Azure, PySpark, and Databricks to manage massive datasets. The interview process reflects this practical focus, emphasizing case studies that test for business impact and robust MLOps practices to ensure models perform at the pharmacy counter.

With an estimated salary range of $155k-$195k for a Senior Data Scientist or MLE, the role offers competitive compensation within Chicago's market. The true draw, however, is the tangible, weekly impact on millions of customers. As noted in analyses of the local tech scene, the ability to ship production AI at this physical scale is a rare and valuable skill set, making Walgreens a prime destination for engineers who want to see their work affect a community's daily life. You can explore current benchmarks for these roles on Built In Chicago's salary tracker.

Cboe Global Markets

As a premier exchange operator headquartered in Chicago's Loop, Cboe Global Markets uses AI to build the intelligence layer for global options and equities trading. The engineering work is deeply specialized, focusing on real-time options pricing models, predictive liquidity analytics, and sophisticated risk assessment systems that give traders a critical edge.

The technical environment demands precision, utilizing Python, AWS, Snowflake, and specialized financial libraries to handle high-frequency data. Reflecting this niche, the interview process rigorously tests candidates on financial mathematics, distributed systems design for low-latency environments, and coding proficiency. This focus ensures engineers can tackle the high-stakes quantitative problems at the heart of modern finance.

Compensation is highly competitive, with an estimated salary for a Senior Machine Learning Engineer ranging from $165k to $215k. The unique appeal lies in solving complex, high-impact problems from within Chicago's historic trading district, where financial data sensitivity and speed are paramount. The demand for such specialized AI talent in finance is a key part of the broader trend, as seen in the volume of roles listed on platforms like LinkedIn for Chicago-based AI engineers.

Relativity

This Chicago-born legal tech giant has transformed litigation by applying AI to the monumental challenge of e-discovery. Relativity's "house recipe" is mastering the "needle in a haystack" problem, building systems that sift through petabytes of unstructured text - emails, memos, legal documents - to uncover key evidence for high-stakes cases.

Engineers focus on advanced NLP for document summarization, sentiment analysis, and active learning systems that exponentially increase the efficiency of legal teams. The technical environment is built for scale, utilizing Python, Azure, Elasticsearch, and Spark to manage vast, complex data pipelines. Interviews rigorously test for this capability with practical coding and system design challenges centered on scalability and efficiency in text processing.

For a Senior Machine Learning Engineer, the estimated salary ranges from $175k to $225k, rewarding the intellectually demanding work of influencing major legal outcomes. The company's excellence in this niche is recognized externally, with client reviews giving Relativity a 5.0 rating and noting that 100% of feedback highlights deep technical expertise and tailored solutions. The role offers a unique blend of high-impact engineering within Chicago's robust professional services ecosystem.

Motorola Solutions

Based in Chicago, Motorola Solutions engineers AI for mission-critical public safety, where systems must perform flawlessly in life-or-death situations. The company's "house recipe" is edge AI, deploying optimized models directly onto ruggedized body-worn cameras and surveillance equipment for real-time analysis in the field.

Projects focus on computer vision for real-time video analytics and NLP for parsing emergency dispatch calls, demanding a unique blend of high-performance engineering and applied machine learning. The tech stack reflects this, often involving C++, Python, PyTorch, and NVIDIA's DeepStream SDK to build low-latency pipelines. The interview process rigorously tests this domain knowledge, emphasizing fundamentals in signal processing and computer vision alongside coding proficiency.

The estimated salary for a Senior AI Engineer ranges from $150k to $200k, positioning it competitively within Chicago's specialized engineering market. The profound reward is building technology that genuinely aids first responders, a powerful application of AI deeply connected to the city's legacy of industrial innovation. This focus on tangible, safety-critical systems is a hallmark of Chicago's diverse AI company landscape, which values applied impact.

Allstate Arity

While headquartered in Northbrook, Allstate's internal AI innovation lab, Arity, is a major force in Chicago's tech scene. Founded on a unique asset - one of the largest driving behavior datasets in the world from millions of telematics devices - Arity engineers build models that redefine insurance and mobility.

Projects here are data-rich and impactful, ranging from complex computer vision for automated claim processing (turning photos of car damage into instant estimates) to sophisticated time-series models analyzing driver risk. The stack utilizes Python, H2O.ai, TensorFlow, and AWS to manage and learn from this immense behavioral data source. The interview process, as highlighted in community insights, often involves behavioral rounds followed by a technical deep-dive into a candidate's past machine learning projects.

With an estimated salary for a Lead Machine Learning Engineer reaching $160k to $210k, the role offers the chance to work at the compelling intersection of insurance, big data, and behavioral science. The work tackles problems affecting millions of drivers, embodying the kind of specialized, data-first AI application that thrives in Chicago's market. You can see how roles like this fit into the broader local hiring landscape on Built In Chicago's machine learning job board.

CME Group

As the world's largest derivatives exchange headquartered in Chicago, the CME Group uses AI as a foundational tool for market integrity and risk management. The engineering challenges are immense, involving real-time detection of fraudulent trading patterns, building high-frequency predictive analytics, and managing systemic risk across a vast array of financial products.

The technical environment blends speed with sophistication, utilizing Python, Java, KDB+, and Google Cloud's Vertex AI to operate in what is essentially a zero-latency environment. The interview process is notoriously rigorous, with a heavy emphasis on statistics, probability, and designing low-latency systems to handle the world's most sensitive financial data streams.

Base salaries for Senior AI Engineers are a competitive $170k to $220k, with high-performance bonuses significantly boosting total compensation. The unique draw is the unmatched domain expertise gained at the heart of global finance, right in Chicago's financial district. This role exemplifies the premium placed on specialized AI talent, a trend reflected in the strong salary benchmarks for engineers who can navigate complex, high-stakes domains.

Tempus AI

A true Chicago-born success story, Tempus AI stands at the forefront of precision medicine, where algorithms directly influence oncologists' treatment decisions. This isn't abstract research; engineers build AI that personalizes cancer care in real-time, working with computer vision to analyze pathology slides, NLP to extract insights from clinical notes, and multimodal models that integrate genomic data.

The technical stack is built for the demands of biomedical data science, leveraging Python, PyTorch, Spark, and AWS. The interview process, as detailed in community resources, typically includes a technical deep-dive, a take-home data challenge, and a focus on company values that center on patient impact.

Compensation reflects the high-stakes, impactful nature of the work, with Senior Machine Learning Engineer salaries ranging from $180k to $240k and Staff roles reaching $250k+. The unparalleled draw is a career with deep human significance, supported by Chicago's world-class healthcare ecosystem. As highlighted in local tech coverage, this makes Tempus a top destination for engineers seeking purpose, with Built In Chicago listing it among the best machine learning engineer jobs in the region.

Microsoft Chicago Office

Strategically positioned to serve a vast Midwest enterprise client base, Microsoft's growing Chicago office is deeply enmeshed in the Azure AI and Copilot ecosystem. Engineers here move beyond building generic tools to customizing and deploying industry-specific AI agents for manufacturing, finance, and beyond, while also developing the responsible AI frameworks and ML infrastructure that make enterprise adoption possible.

The work utilizes a stack designed for integration and scale, including Azure Machine Learning, ONNX, PyTorch, and C#/.NET. According to the detailed Microsoft Machine Learning Engineer Interview Guide, candidates face approximately six rounds assessing coding, system design, and specialized ML theory, ensuring they can bridge technical implementation with business solutioning.

Total compensation packages are robust, with Senior (L61/62) roles earning an estimated $161k to $310k TC, and Principal levels reaching higher. This places Microsoft as a top-tier competitor in Chicago's tech salary landscape. The "special" here is being on the front line of democratizing AI, embedding it directly into the productivity tools used by millions across the heartland's major industries. As detailed on Levels.fyi, these roles offer significant growth potential within a globally recognized framework for AI development.

Amazon AWS Chicago Office

In Chicago's tech scene, Amazon's presence is a dual powerhouse, encompassing the colossal logistics of its retail operation and the innovative frontier of AWS AI Services. Engineers tackle wildly diverse challenges, from developing computer vision for "Just Walk Out" technology to building forecasting models that optimize a global supply chain originating from Midwestern hubs, all while creating new features for core services like SageMaker.

The technical work employs a stack including PyTorch, MXNet, and AWS's own suite of services to manage problems of unparalleled scale. The renowned interview "Loop," detailed in resources like Exponent's Amazon Machine Learning Engineer Interview Guide, involves 5-6 rounds heavily weighted on technical prowess and Amazon's Leadership Principles, designed to find engineers who can own complex systems from end to end.

Total compensation for Senior roles is highly competitive, estimated between $340k and $410k. The defining opportunity is access to some of the planet's largest datasets, where improving a model by a fraction of a percent can impact billions in logistics efficiency. This scale and impact make it a cornerstone of the competitive salary landscape for AI talent in Chicago.

Google Chicago Office

Topping Chicago's AI landscape, Google's office is a center of gravity for engineers building global-scale ML systems where infrastructure is the product. Teams focus on core revenue drivers like Ads and Search optimization and cutting-edge LLM integration for Google Cloud customers, pushing the limits of distributed computing.

The work involves a sophisticated stack built on TensorFlow, JAX, Kubernetes (GKE), and proprietary internal tools for TPU orchestration. The interview process is a multi-stage assessment of elite skills, as outlined in the comprehensive Google Machine Learning Engineer Interview Guide, rigorously testing coding, ML theory, and - critically - ML system design at massive scale.

Compensation reflects this elite tier, with a Senior (L5) AI Engineer commanding a total package estimated at $350k to $420k. The #1 ranking is justified by the unparalleled impact: as engineers note, a 0.1% improvement in a core ads model can translate to millions in revenue. You're not just using AI; you're engineering the foundational platforms that define the industry from a major hub in Chicago's thriving West Loop, supported by a local talent pool drawn from the region's top universities and labs.

Frequently Asked Questions