Top 10 Companies Hiring AI Engineers in Oklahoma City, OK in 2026
By Irene Holden
Last Updated: March 18th 2026
Too Long; Didn't Read
Paycom and Devon Energy are the top companies hiring AI engineers in Oklahoma City in 2026, with Paycom focusing on high-stakes HR automation and Devon Energy on digital oilfield optimization. Senior AI roles at these firms offer salaries reaching $185,000 at Paycom and over $230,000 at Devon Energy, supported by OKC's median AI salary of $162,213 and a lower cost of living than coastal metros. This makes the city an ideal hub for engineers tackling complex challenges in sectors like finance, energy, and healthcare.
Geologists in Oklahoma don't just survey the surface; they extract core samples to read the earth's history in its distinct strata. Evaluating the 2026 AI job market in Oklahoma City demands the same depth of analysis, moving beyond generic rankings to examine the unique layers of "Deep Enterprise" applications that define the local tech ecosystem.
Unlike the consumer-focused AI hubs on the coasts, OKC’s landscape is characterized by solving high-stakes, physical-world problems in sectors like energy, healthcare, and finance. With 122 AI engineer positions actively listed, the market is mature and specialized. The median salary for an AI/ML engineer here is a competitive $162,213, offering substantial purchasing power thanks to the city's lower cost of living compared to coastal metros.
This vertical ecosystem means your choice isn't about finding the highest peak, but identifying which stratum of impact you want to drill into - whether it's governing financial transactions, optimizing energy extraction, or predicting patient health trajectories. The following analysis provides the core sample, revealing the depth of technical challenge and societal impact offered by each major employer in the heart of the central U.S.
Table of Contents
- Oklahoma City AI Job Market Overview
- Paycom
- Devon Energy
- Integris Health
- Chesapeake Energy
- Love's Travel Stops
- American Fidelity Assurance
- MidFirst Bank
- Sonic Corp.
- OU Health
- Hobby Lobby
- Conclusion
- Frequently Asked Questions
Begin your journey with this complete tutorial on beginning an AI career in Oklahoma City that includes bootcamp recommendations.
Paycom
In the stratum of enterprise software, Paycom represents a dense layer of high-stakes machine learning. The company operates what is arguably the most sophisticated AI infrastructure in the region, automating the entire HR lifecycle where model precision directly impacts millions of employee paychecks.
Its AI Center of Excellence drives foundational projects, from Natural Language Processing (NLP) for automated resume parsing to real-time anomaly detection for fraud prevention in payroll - a domain where errors carry significant legal and financial weight. The technical environment is built for scale and reliability on a stack of Python, Spark, TensorFlow, and Kubernetes.
The interview process reflects this demanding precision, often involving a rigorous four-round gauntlet with technical assessments on algorithms and system design. This intensity is documented in candidate experiences on Glassdoor. Compensation is commensurate with the responsibility, with senior AI roles commanding salaries from $145,000 to $185,000. For engineers, this means your code governs one of the most regulated and sensitive operations in business, a challenge unique to OKC’s enterprise core.
Devon Energy
Drilling into the next stratum reveals Devon Energy, where machine learning governs physical earth and steel. As a leader in the "Digital Oilfield," the company applies AI to optimize drilling and production across U.S. basins, translating complex geophysical data into multi-million dollar operational decisions.
Cross-functional digital squads - composed of ML engineers, geophysicists, and data scientists - tackle problems like predictive maintenance for pumping units and real-time autonomous drilling adjustments using live sensor streams. This work bridges the digital and physical, a core differentiator in OKC’s AI landscape. The tech stack leans into cloud platforms with Azure Machine Learning, Databricks, and PyTorch.
The interview process is structured with panel interviews emphasizing behavioral "team-fit" and analytical problem-solving. For senior or architect-level talent who want to see models move physical assets, compensation is highly competitive, reaching $180,000 to over $230,000, as detailed on Levels.fyi. The company is actively seeking this talent, with open roles like Sr AI Engineer highlighting the ongoing investment in this physical-digital frontier.
Integris Health
Beneath the surface of enterprise and energy lies the critical stratum of human health, where Integris Health applies AI with life-or-death stakes. As Oklahoma's largest healthcare system, its Data & Analytics division works on predictive modeling for patient mortality and sepsis readmission, where model outputs contribute directly to clinical decisions and patient outcomes.
This work occurs within a mission-driven, non-profit environment that balances innovation with rigorous compliance. Projects extend beyond clinical AI to operational improvements like wait-time optimization in urgent care, showcasing a comprehensive tech-enabled approach. The technical environment integrates specialized platforms like the Health Catalyst Data Operating System with core data science tools like Python, ensuring HIPAA-compliant model design.
The interview process reflects this unique domain, incorporating clinical assessments and case studies on data privacy. Integris has been recognized for this pioneering work, earning an award for its tech-enabled managed services. For lead or managerial AI professionals motivated by social impact, salaries are substantial, ranging from $160,000 to $210,000. This stratum represents the frontier of clinical AI, where engineers can see their work reduce medical errors and save lives within the local community.
Chesapeake Energy
At the intersection of traditional energy and the sustainable transition lies the Chesapeake Energy stratum. Focused on natural gas, the company employs machine learning for advanced reservoir characterization and critical ESG (Environmental, Social, and Governance) tracking, positioning its AI work at the forefront of the energy evolution.
AI teams tackle high-impact problems like preemptive leak detection across vast infrastructure using satellite and sensor data, and forecasting well-production decline curves essential for resource planning. The work utilizes a stack of Python, SQL, and specialized geophysical ML libraries to translate complex data into actionable insights.
The interview process typically tests foundational ML concepts alongside practical, LeetCode-style problem-solving, followed by situational scenarios. This focus on applied skills is reflected in the highly competitive compensation; senior data scientist roles command salaries reported between $199,000 and $240,000, with detailed bands available on Chesapeake Energy’s Levels.fyi page. For engineers passionate about applying AI to the future of sustainable energy, this layer offers a compelling and well-rewarded technical challenge within Oklahoma City's diverse ecosystem.
Love's Travel Stops
Spanning the continent is the distributed stratum of Love's Travel Stops & Country Stores, where AI operates at the edge of a massive physical network. The company has evolved into a tech-forward retail and logistics powerhouse, deploying and managing models across thousands of locations to optimize one of the nation's most complex fuel and supply chains.
For AI engineers, this means working on true Edge AI challenges. Teams focus on retail analytics and logistics, building personalized recommendation systems for the Love’s Connect app and employing computer vision for smart-parking and automated inventory checks. This requires a hybrid tech stack of Java-based microservices and Python/R for machine learning, leveraging AWS and SAP HANA.
The interview process is multi-stage, involving technical skills tests and presentations for roles focused on AI-powered enterprise applications. Senior data scientists can expect salaries from $120,000 to $155,000, a range that reflects the specialized challenge of scaling AI solutions across a vast, distributed footprint. This role is ideal for engineers who relish moving models out of the data center and into the physical world, a key layer in OKC's applied AI ecosystem.
American Fidelity Assurance
In the sedimentary layer of financial services, American Fidelity Assurance has deposited decades of structured data, creating a rich vein for AI exploration. As a major regional insurance player, the company leverages this legacy dataset - a veritable "gold mine" - to train highly accurate, longitudinal models for automating core functions and assessing risk.
Key initiatives focus on applying Natural Language Processing (NLP) to automate the ingestion of complex claim documents and developing predictive analytics for customer churn and underwriting. This work occurs within the stable, precision-oriented environment characteristic of the insurance industry, utilizing a tech stack centered on the Microsoft ecosystem, including Azure ML and .NET integration alongside Python and SAS.
The interview process reflects the sector's demand for accuracy, emphasizing data integrity, statistical theory, and often involving practical take-home data cleaning assignments. The company's investment in AI has garnered recognition, landing it on listings of top AI companies trendsetting in the space. For mid-level AI professionals who enjoy deriving signal from rich, historical data, the environment offers stability and competitive compensation, with salaries ranging from $105,000 to $135,000, aligning with the broader OKC market for AI/ML analysts.
MidFirst Bank
In the precise stratum of financial security, MidFirst Bank applies AI within a framework of mathematical rigor and stringent compliance. As one of the largest privately owned banks in the U.S., its AI work balances innovation with the immutable demands of financial modeling, focusing on real-time fraud detection for transactions and personalized product recommendations for high-net-worth clients.
The technical environment prioritizes security, often utilizing secure, on-premise ML clusters alongside a stack of Python, SQL, and R. This reflects the sector's need for controlled, auditable systems where model integrity is paramount. The bank represents a significant part of the local financial sector's push into AI, actively hiring for roles like AI Process Analysts to document and optimize business workflows.
The interview process is quantitatively demanding, testing candidates on probability theory, financial mathematics, and advanced SQL optimization skills. This focus ensures engineers can navigate the complex, rule-based world of finance. MidFirst Bank is recognized among the top tech companies in Oklahoma City, highlighting its established yet growing tech presence. For the analytically minded engineer who appreciates structure and impact, mid-level roles offer robust compensation, with salaries ranging from $115,000 to $145,000.
Sonic Corp.
Within Oklahoma City's diverse AI strata, Sonic Corp. presents a uniquely challenging acoustic landscape. Headquartered in OKC as part of Inspire Brands, the company drives innovation for the "Drive-In of the future," focusing on AI applications that must perform in unpredictable, open-air environments.
The core technical puzzle is overcoming the "Noisy Environment" issue for NLP systems. Engineers develop AI voice-ordering assistants for drive-in stalls and create dynamic menu pricing logic, requiring models that are both robust and responsive. The tech stack is built for this real-time challenge, utilizing Python, TensorFlow, and edge computing solutions tailored for high-concurrency ordering systems.
The interview process often reflects this focus on system design for scalable, real-world applications. According to salary aggregation data on Levels.fyi, mid-level AI roles at Sonic offer competitive compensation in the Oklahoma City market, ranging from $110,000 to $140,000. This stratum is ideal for engineers seeking a distinctive problem space where solving NLP challenges in one of retail's most unconventional settings becomes a top-tier technical achievement.
OU Health
Representing the confluence of research and practice is the OU Health stratum, the academic health system for the University of Oklahoma. Here, AI work blends cutting-edge academic inquiry with direct clinical application, particularly in the high-precision domain of advanced medical imaging.
Research and development teams pioneer techniques in computer vision for AI-assisted radiology and pathology, aiming to improve diagnostic accuracy and cancer detection rates. Additional projects utilize NLP to extract structured data from unstructured physician notes, enhancing clinical data utility. The environment is distinctly research-oriented, utilizing frameworks like PyTorch on specialized medical informatics platforms.
The interview process reflects this dual mission, often requiring candidates to present on past ML publications or research projects, assessing both innovative thinking and practical translation. While compensation aligns with academia-adjacent roles, it remains competitive within the Oklahoma City market, with data scientists earning $90,000 to $130,000. This range fits within the broader OKC salary band for AI/ML engineers. For engineers equally passionate about pioneering new techniques and seeing them applied at the bedside, this layer offers a rare and impactful career path, supported by partnerships with leading health tech firms like Health Catalyst that underscore the region's commitment to tech-enabled care.
Hobby Lobby
Completing our core sample is the substantial and surprising stratum of Hobby Lobby, which manages one of the most complex retail supply chains in the U.S. This private, Oklahoma City-based giant leverages AI not for consumer flash, but for profound operational mastery at a continental scale.
The primary AI application is in hyper-accurate forecasting, predicting demand for highly seasonal inventory across a network of more than 1,000 stores. Complementing this is the deployment of computer vision in enormous distribution centers for automated sorting and quality control, translating digital intelligence into physical efficiency. The technical work revolves around large-scale SQL environments and Python for predictive models, deeply integrated with enterprise SAP systems.
The interview process is described as straightforward yet thorough, with technical screenings focused on practical data manipulation and real-world problem-solving - a fit for the applied nature of the work. Analysis of the company's evolving operations, like that found in the Retail Archaeology video "Hobby Lobby? More Like AI Sloppy Lobby!", highlights its scale. For software and ML engineers, roles typically offer solid compensation between $110,000 and $145,000. This final layer is perfect for those who want to see AI drive tangible efficiency in a vast, physical-world logistics network, a foundational but often overlooked pillar of Oklahoma City's deep enterprise ecosystem.
Conclusion
The strata of Oklahoma City’s AI ecosystem present a clear, geologist’s choice: which layer of reality do you want your models to govern? The search is not for the highest surface peak but for the stratum whose core problem resonates with your professional geology - be it securing financial transactions, optimizing energy extraction, or predicting a patient's health trajectory.
This specialized, vertical market offers stability and depth, powered by a central U.S. location and a cost of living that amplifies the value of a strong salary. With the median compensation for an AI/ML engineer at $162,213, and roles recognized on Glassdoor’s list of top Tech & AI companies in the city, the financial foundation is solid. The field is also dynamic, with AI engineers topping the fastest-growing U.S. jobs list.
Ultimately, your task is to map your skills against the distinct pressures and environments of these companies. In doing so, you move beyond a generic job search to drill deep into a specialized career, finding the stratum where your work will fossilize into legacy within the heartland's unique technological formation.
Frequently Asked Questions
What criteria did you use to select and rank the top companies for AI engineers in Oklahoma City?
We ranked companies based on the depth of technical challenges, societal impact, and competitive salaries, not just size. For example, Paycom deals with high-stakes HR automation, while Devon Energy applies AI to physical energy systems, reflecting Oklahoma City's diverse AI ecosystem.
Which company offers the highest salaries for AI engineers in OKC in 2026?
Devon Energy leads with senior salaries reaching over $230,000, followed by Chesapeake Energy and Paycom. The median AI engineer salary in OKC is $162,213, which is competitive given the lower cost of living compared to coastal metros.
What kind of AI projects can I expect to work on at these top companies in Oklahoma City?
You'll tackle real-world applications like NLP for fraud detection at Paycom, predictive maintenance for oil rigs at Devon Energy, and clinical AI at Integris Health. Each company offers hands-on projects with tangible impacts, from energy to healthcare.
How does Oklahoma City's location and cost of living benefit AI professionals compared to coastal cities?
Oklahoma City has a lower cost of living, making six-figure salaries more impactful, and its central U.S. location provides access to major employers like Paycom and a growing tech startup ecosystem supported by the University of Oklahoma.
Are there opportunities for AI engineers with different experience levels in Oklahoma City's job market?
Yes, while top companies often seek experienced engineers for roles with salaries up to $240,000, entry-level opportunities exist through local accelerators and research positions at OU Health, supporting a diverse career path in AI.
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Irene Holden
Operations Manager
Former Microsoft Education and Learning Futures Group team member, Irene now oversees instructors at Nucamp while writing about everything tech - from careers to coding bootcamps.