Top 10 Companies Hiring AI Engineers in Dallas, TX in 2026

Table of Contents

• The Silicon Prairie Choice
• CBRE
• American Airlines
• NTT DATA Services
• o9 Solutions
• Goldman Sachs
• Microsoft
• Toyota Connected North America
• Capital One
• Texas Instruments
• AT&T
• Finding Your Perfect Fit
• Frequently Asked Questions

CBRE

While many DFW firms build for the cloud, CBRE engineers intelligence for the physical world. As the global commercial real estate leader headquartered in Dallas, their AI transforms skyscrapers, retail spaces, and industrial parks through computer vision for automated inspections, predictive property valuation, and NLP for lease analysis.

The tech stack is practical and powerful, centered on Python, SQL, AWS SageMaker, and Tableau. This unique intersection of real estate and cutting-edge tech offers a stable, corporate environment with tangible, city-shaping impact, where models influence billion-dollar asset decisions.

Salaries reflect this specialized niche, with Senior Data Scientist and ML Engineer roles commanding $150k to $195k. The interview process mirrors their business-centric ethos, typically involving an initial screen, a take-home data challenge modeling a real-world property scenario, and a final panel interview focused on both ML theory and demonstrable business impact.

American Airlines

Headquartered in Fort Worth, American Airlines deploys AI at the heart of one of the world's most complex logistics networks. Engineers tackle massive-scale challenges, using reinforcement learning to optimize flight schedules, deploying computer vision for ramp safety, and building recommendation systems to personalize travel for millions.

The engineering culture utilizes a cloud-native stack with Python, Java, and Redis. While compensation can be below pure-tech firms, the domain complexity is unparalleled, involving real-time data that directly influences thousands of daily flights.

Salaries in 2026 show clear growth tracks: a Level 2 engineer earns $87k to $105k, while a senior L4 role commands $120k to $133k or more, as detailed on salary benchmarking sites. The reported interview process typically involves two coding rounds focused on string and array manipulation, a technical discussion on OOP and system design, and a final managerial behavioral round.

NTT DATA Services

With its Americas headquarters in Dallas, NTT DATA Services operates as a global enterprise AI integrator, pivoting aggressively into generative AI implementation. For engineers, this means building "agentic" AI solutions that automate complex workflows in healthcare, finance, and logistics, integrating LLMs like GPT into core business operations.

The work demands a hybrid skillset of software engineering, DevOps, and cloud architecture, with fluency in Python, modern LLM frameworks, and cloud AI platforms. This role is less about pure research and more about delivering robust, scaled solutions for major clients.

The salary range is notably broad, reflecting various specialties and seniority levels. In 2026, AI Solutions Engineer roles in Dallas span from $99k to $220k, as seen in active local job postings. The interview process is designed to vet this integration skillset, starting with a technical screen on Python and cloud fundamentals, followed by a system design round where candidates architect an enterprise-grade AI solution.

o9 Solutions

Based in Dallas, o9 Solutions has grown into a multi-billion-dollar unicorn by offering a proprietary enterprise AI platform - the "Digital Brain" - for supply chain and business planning. Working here places you inside a pure-play AI product company focused on solving complex business problems like demand forecasting and supply chain optimization using graph-based machine learning.

Engineers work with Python, SQL, and o9's unique graph-based ML environment in a fast-paced, scale-up atmosphere with a singular product mission. The projects are deeply focused, applying NLP to parse global market signals and translating business chaos into AI structure.

Compensation matches its high-growth status, with mid-to-senior AI engineers earning between $140k and $200k in 2026. The interview process goes beyond algorithm quizzes, involving a technical screening followed by deep-dive discussions on algorithm efficiency and domain-specific case studies that test practical problem-solving skills.

Goldman Sachs

Goldman Sachs's massive Dallas engineering hub represents Wall Street's AI ambitions planted firmly in Texas soil. As a major center for Global Banking & Markets technology, AI engineers here build the sophisticated brains behind algorithmic trading, create NLP systems to parse millions of financial documents, and design rigorously reliable ML-driven risk frameworks.

The work exists at the high-stakes intersection of finance and cutting-edge technology. The stack includes Python (and their internal Slang), Java, Spark, and AWS SageMaker, applied to problems where model performance translates directly to financial outcomes.

Compensation is top-tier, reflecting this impact. Senior AI/ML Engineer roles are estimated at $160k-$210k in 2026, augmented by significant performance bonuses. The firm is actively seeking talent for roles like Generative AI Engineer, Associate. The interview process is famously rigorous, often involving a technical phone screen leading to a "Super Day" of 4-5 back-to-back interviews covering data structures, complex ML system design, and quantitative finance theory.

Microsoft

Microsoft's significant presence in the Irving/Las Colinas area is heavily focused on building the cloud platforms that power global AI. Engineers here work on core Azure AI services, fine-tuning and integrating "Copilot" capabilities, and developing the MLOps infrastructure that enables other companies to deploy models at scale.

The work involves a mix of Python, C#, and deep expertise in Azure Machine Learning and PyTorch. You're not just using AI tools but building and scaling them for worldwide consumption, which places Microsoft among the top AI development anchors in DFW.

Compensation is strong, with a 2026 base salary range of $150k to $220k for these roles, augmented by substantial stock grants. The interview loop is comprehensive, designed to test candidates on deep ML theory, distributed systems design, and fluent, clean coding abilities in a multi-stage technical assessment.

Toyota Connected North America

Located in Plano, this dedicated data and AI subsidiary of Toyota is building the intelligent future of mobility. Engineers at Toyota Connected turn vehicle data into dynamic services, working on real-time traffic prediction, driver behavior analysis for safety, and advancing the NLP behind next-generation in-car voice assistants.

The tech stack is modern and cloud-agnostic, leveraging Python, PyTorch, Kubernetes, and both GCP and AWS. It's a product-driven environment where AI directly enhances the experience for millions of drivers, embodying the shift where "AI is no longer just a digital skill; it's evolving into a systems and infrastructure workforce," as noted by educator Dr. Anu Asokan.

Salaries are highly competitive, ranging from $130k to $190k in 2026 based on seniority. The company actively cultivates talent through programs like its Career Accelerator Program for Data Engineers. The interview process is known for its heavy emphasis on system design, challenging candidates to architect solutions for ingesting and processing high-scale, real-time data streams from a global vehicle fleet.

Capital One

Capital One's Plano campus hosts a mature and respected AI Center of Excellence, distinguished by its strong emphasis on ethical and responsible AI. Engineers build systems with enormous financial responsibility, such as real-time fraud detection networks that must be both incredibly accurate and fair, and generative AI applications for personalized financial coaching.

The culture blends a tech-forward mindset with the rigorous governance required in banking, utilizing a stack of Python, Spark, TensorFlow, and Snowflake. This aligns with the broader 2026 trend where, as noted in a LinkedIn report, organizations prioritize "outcomes, not just tools," especially when those outcomes involve consumer trust and regulatory compliance.

Compensation is among the best in DFW for the sector. In 2026, Senior ML Engineers earn $165k to $205k, while Lead roles reach $190k to $230k or more. Beyond standard technical screens, their interview process is distinctive for its case-study round, where candidates must walk through the design, validation, and ethical considerations of an ML system from end to end.

Texas Instruments

At Texas Instruments' Dallas headquarters, AI engineering meets the physical constraints of silicon in the specialized world of "Edge AI." Engineers here bridge the gap between advanced algorithms and hardware, optimizing computer vision, signal processing, and sensor fusion models to run on low-power, real-time processors for automotive and industrial electronics.

This deep-tech work requires a unique skillset blending software and hardware architecture, with expertise in C/C++, Python, MATLAB, and TI's proprietary TIDL frameworks. It's a niche that commands premium compensation due to its technical specialization and critical role in next-generation embedded systems.

This expertise is reflected in premium salaries. In 2026, mid-level roles command $113k to $173k, while senior and principal engineers can earn up to $248k, according to detailed public salary data. The interview process is uniquely rigorous, often involving a project presentation and on-site rounds that test knowledge across the stack - from logic gates and system architecture to core ML principles, as detailed in candidate reviews.

AT&T

As the cornerstone of Dallas's Telecom Corridor, AT&T operates one of the region's largest and most impactful AI organizations, tackling problems of immense national scale. Engineers here work on mission-critical systems: deploying LLMs for internal "Ask AT&T" tools, applying computer vision via drones to inspect cell tower infrastructure, and building predictive models to maintain the reliability of the nationwide 5G network.

The work offers remarkable stability, vast resources, and the tangible impact of seeing your AI models deployed across essential national infrastructure. The tech stack is versatile and enterprise-grade, centered on Python, Java, SQL, PyTorch, TensorFlow, and Snowflake for data warehousing.

Salaries provide solid, structured growth within this corporate giant. In 2026, Junior (L1) roles start at $98k to $115k, Mid-level (L2) positions range from $115k to $145k, and Senior (L3) engineers earn $145k to $169k or more, as detailed on salary tracking platforms. The interview process is a well-oiled corporate machine, typically involving a recruiter screen, a 70-minute online coding assessment on HackerRank, and a final panel that blends AI theory, coding exercises, and telecommunications domain knowledge.

Finding Your Perfect Fit

Choosing your next role in Dallas's vibrant AI market is less about finding the single "best" stall and more about knowing what you want to build. The perfect fit is where your specific skills become essential to the story DFW is writing as the Silicon Prairie.

Do you crave the deep-tech, hardware-software fusion at Texas Instruments, or the massive, real-world network impact at AT&T? Are you drawn to the product-driven agility of Toyota Connected in Plano or the ethical, financial-scale challenges at Capital One? This diversity is the region's strength, offering everything from enterprise integrators like NTT DATA to supply chain AI pioneers like o9 Solutions.

As the market matures, success hinges on aligning with a company's core mission. The trend, as highlighted in LinkedIn's 2026 analysis, is toward professionals who deliver strategic outcomes. Furthermore, with 31% of companies now explicitly adding AI skills to IT job requirements, as noted by Payscale, your specialized expertise is the key to unlocking roles where you will not just be used, but will thrive. Evaluate each ecosystem by the problems it solves and the growth it offers; your ideal career, like the perfect peach, is waiting for you to take a bite.

Frequently Asked Questions