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

Table of Contents

• Finding Your AI Career Fit in Waco
• Baylor University
• Baylor Scott & White Health
• Texas Farm Bureau
• SpaceX
• L3Harris Technologies
• H-E-B Digital
• Caterpillar
• Sanderson Farms
• AxisCare
• Stratus Data Systems
• Choosing Your Perfect AI Role
• Frequently Asked Questions

Baylor University

As Waco's anchor R1 research institution, Baylor University has matured into a regional AI powerhouse where machine learning isn't just studied - it's deployed at scale to advance knowledge across disciplines. AI engineers operate in hybrid teams within the university's IT division and specialized research labs, collaborating directly with faculty on projects that span from digital humanities to predictive student success platforms.

The tech stack is academic-grade, leveraging Python with PyTorch or TensorFlow, AWS SageMaker for managed workflows, and Snowflake data warehousing. Key initiatives include Natural Language Processing (NLP) models to analyze historical archives and the integration of Large Language Models (LLMs) into educational tools. This work positions Baylor at the forefront of Waco's AI talent landscape, offering a unique blend of intellectual challenge and tangible, cross-disciplinary impact.

Compensation reflects this high-level research environment, with salary data from university salary reports showing an average range of $105,000 to $165,000 for these engineering roles. The interview process is correspondingly theory-heavy, focusing on core ML fundamentals and a technical assessment that often involves a practical data visualization or automation task. For engineers who want their code to fuel discovery, all within walking distance of Waco's vibrant downtown, Baylor represents a premier destination.

Baylor Scott & White Health

For AI engineers driven by purpose, wanting to see their models directly affect human lives, Baylor Scott & White Health presents a profound opportunity. As Texas's largest non-profit healthcare system, its Value-Based Care (VBC) Analytics team is a mature, centralized unit using AI to power predictive insights that improve patient outcomes across Central Texas.

Engineers here work with a specialized stack built for clinical data, including Azure Machine Learning, SQL Server, and integration with platforms like Epic's Cognitive Computing. Projects focus on building models for patient risk stratification, hospital readmission forecasting, and using NLP to summarize complex medical records. As one healthcare data scientist role described, the work involves "developing predictive models to identify high-risk patients and improve care quality."

Salaries are competitive within the healthcare tech sector, ranging from $98,000 to over $152,000. Highly experienced roles can command more than $72 per hour, as noted in comparative salary data. The multi-stage interview process typically includes a clinical data case study, testing not only technical skill but also the crucial ability to communicate complex findings to non-technical medical stakeholders. This role turns Waco's central I-35 location into a hub for revolutionizing patient care.

Texas Farm Bureau

Headquartered in Waco, Texas Farm Bureau is executing an ambitious "AI-first" strategy to modernize the massive, paper-intensive insurance industry. The engineering challenge here is significant: migrating decades of legacy policy data into intelligent, cloud-native workflows that can process claims and assess risk with unprecedented speed.

AI engineers are integrated into IT and underwriting teams, working with a specialized stack that includes Box AI for extracting insights from unstructured documents, Guidewire ClaimCenter, and custom machine learning pipelines. As detailed in a case study on Box's blog, key projects involve computer vision for automated claims assessment - such as instantly evaluating roof damage from hail - and NLP to extract critical risk factors from millions of pages of policy documents.

For senior engineers tackling these foundational problems, salaries are competitive, ranging between $110,000 and $145,000. This aligns with broader Texas AI/ML software engineer salary data. Reflecting the core technical mission, the interview process emphasizes system design for building scalable, reliable data pipelines, making it an ideal role for engineers fascinated by applying cutting-edge AI to a traditional sector.

SpaceX

While its massive rocket engine testing facility is in nearby McGregor, SpaceX is a dominant force in the Waco regional talent market, offering some of the most thrilling and high-stakes AI engineering roles available. Here, artificial intelligence is built directly into mission-critical systems that support launch operations and vehicle development.

Engineers are embedded within software and data systems teams, utilizing a tech stack of Python, C++, and custom telemetry tools running on high-performance computing clusters. Projects are extraordinarily tangible, focusing on areas like real-time rocket engine anomaly detection from test stand data streams and computer vision systems for autonomous hardware inspection. As noted in analyses of Waco's AI job market, these roles represent the ultimate production environment where a model's inference could literally help guide a launch sequence.

Compensation reflects the intensity, prestige, and specialized skill required, with total package salaries ranging from $125,000 to $185,000, not including significant stock equity. This places it at the very top of the local market, exceeding the Texas AI/ML software engineer salary scale. The interview process is famously rigorous, involving deep technical screenings on topics like hardware/software integration and real-time data processing.

L3Harris Technologies

With a major presence focused on aircraft modification and advanced mission systems, L3Harris Technologies brings national security-scale engineering challenges to the Waco area. AI engineers here work within specialized systems and software engineering teams, applying machine learning to critical domains in defense and aerospace where reliability is paramount.

The work involves a tech stack of Python, Linux-based embedded systems, and secure cloud environments designed for classified applications. Projects are mission-focused, including developing computer vision algorithms for intelligence, surveillance, and reconnaissance (ISR) platforms and creating AI-driven predictive maintenance models for complex aircraft fleets. This positions L3Harris as a key player for engineers interested in machine learning within defense technology in Central Texas.

Salaries are robust, reflecting the specialized and secure nature of the work, with ranges from $115,000 to $160,000 for experienced engineers. This aligns with data for AI/ML roles in Texas at major defense contractors. The interview process typically combines behavioral questions with deep-dive technical discussions on topics like signal processing and machine learning security, seeking engineers who thrive on complex problem-solving in highly demanding environments.

H-E-B Digital

Though headquartered in San Antonio, H-E-B's massive and sophisticated digital footprint makes it a prime employer for Waco-based and remote AI talent. This is far beyond simple e-commerce; it represents one of the most advanced retail AI operations in the country, where machine learning directly powers both customer experience and complex physical logistics.

Engineers typically join large, mature teams focused on areas like Product Discovery, Personalization, or Supply Chain Optimization. They work with a modern stack of Python, TensorFlow, Kubernetes, and Snowflake to build the recommendation systems that power the My H-E-B app and develop the forecasting models that manage perishable inventory across hundreds of stores. This scale of consumer-facing AI places H-E-B among the most significant AI employers in the Central Texas region.

For mid-to-senior engineers, the compensation is highly attractive, with salaries ranging from $130,000 to $190,000. This top-tier range is confirmed by broader Texas salary data for AI/ML roles. The interview process is designed to match this caliber, often including pair programming exercises and ML systems design challenges (e.g., "design a recommendation engine from scratch"). It offers a unique chance to work on high-scale consumer AI while enjoying Waco's affordability and the easy I-35 drive to Austin.

Caterpillar

Caterpillar’s Waco facility, one of the world's largest manufacturers of large wheel loaders, stands at the forefront of the company's industrial digital transformation. Here, AI engineering is intensely tangible, focused on optimizing the factory floor and the massive machines built upon it, applying intelligence to the physical manufacturing processes central to the regional economy.

Engineers join Industrial and Digital teams, working with a tech stack of Python, C++, and IoT-integrated machine learning platforms that connect directly to machinery. Key projects include developing predictive maintenance models for massive assembly-line equipment to prevent costly downtime and creating AI-optimized logistics systems for the complex supply chain of heavy equipment parts and finished products.

Salaries for these specialized industrial AI roles are competitive, typically ranging from $100,000 to $140,000. This aligns with the broader market for applied AI engineering in Texas, as seen in statewide salary data. The interview process reflects the hands-on nature of the work, involving practical assessments on real or simulated industrial data sets and questions focused on systems integration, making it the definitive "Smart Factory" career path in Waco.

Sanderson Farms

As a major regional employer in food production, Sanderson Farms applies AI to some of the most complex and variable challenges: biological systems and massive physical logistics. The company's data analytics teams leverage machine learning to solve operational puzzles that directly impact the supply chain, from farm to table.

The tech stack centers on the Azure/Microsoft ecosystem and Python, used to build models for biological growth forecasting of poultry and to optimize the immense logistics network required for feed delivery and finished product distribution. This work exemplifies the real-world application of AI to agriculture, a trend highlighted in resources like AgriLife Today's coverage of future farming.

The salary range for these specialized roles is $90,000 to $130,000, which fits within the spectrum for applied data roles in Texas as reported by ZipRecruiter's AI/ML salary data. The interview process leans heavily on analytical case studies focused on operational efficiency, seeking engineers who can translate data into actionable decisions that keep food moving reliably. It's an ideal role for those fascinated by AI's application to large-scale biological and physical supply chains.

AxisCare

A true Waco-born success story, AxisCare is a leader in home care management software that has invested significantly in AI to address critical workforce shortages in the caregiving sector. Engineers here work in product teams with an experimental, user-focused mindset, integrating machine learning directly into solutions that support caregivers and clients.

The technical environment involves a backend built on Ruby on Rails with Python-driven ML models hosted on AWS. Their socially vital projects focus on AI-powered caregiver-to-client matching algorithms to improve care quality and automating burdensome healthcare documentation to reduce administrative overhead. As highlighted in specific listings for Senior AI/ML Engineers in Waco, the company is actively building its capacity in this area.

According to ZipRecruiter salary data for the region, Senior AI/ML roles at this scale command between $108,700 and $143,400. The interview process is collaborative, focusing on how AI can solve specific end-user pain points for caregivers and agency administrators. It represents a compelling opportunity to be at the forefront of the "Care Economy" tech revolution right in Waco's own backyard.

Stratus Data Systems

For engineers fascinated by the cutting edge of autonomous systems, Stratus Data Systems offers a unique niche in the Waco region. This real estate data platform is moving beyond traditional machine learning to build production-grade agentic AI - systems capable of planning and executing complex workflows with minimal human intervention.

The small, focused engineering teams work with a forward-looking stack built on large language models (LLMs) like GPT-4 and Anthropic's Claude, vector databases such as Pinecone or Milvus for semantic search, and Python for orchestration. Their core mission is developing reliable, autonomous agents for tasks like property data enrichment and transaction coordination. As noted in 2026 job market analyses, Stratus represents the shift from experimental AI to building dependable autonomous agents.

Salaries for these specialized roles are in the $75,000 to $90,000 range for junior to mid-level engineers, reflecting the emerging but focused nature of this domain within the local market. This aligns with broader data on AI/ML salaries in Texas for similar experience levels. The interview process involves practical testing on building and deploying autonomous agent workflows, offering a rare opportunity to work on this specific frontier without leaving Central Texas.

Choosing Your Perfect AI Role

Choosing your next AI role in Waco is less about finding the single "best" company and more about identifying whose unique blend of mission, technology, and daily impact aligns with your professional palate. Do you crave the intellectual ferment of university research at Baylor, the tangible, life-affecting stakes of healthcare at BSWH, or the hard-tech reality of aerospace at L3Harris or SpaceX?

In 2026, Waco’s diverse ecosystem, bolstered by its strategic I-35 location, affordability, and no state income tax, offers a compelling menu. From the industrial AI of Caterpillar's smart factory to the agentic frontiers at Stratus Data Systems, the range of problems being solved is vast. As analyzed by DigitalHire's 2026 overview, the local market has matured to prioritize professionals who can integrate AI into real-world systems.

Your perfect blend is here. Start by reflecting on which "flavor notes" - whether it's the scale of retail at H-E-B, the purpose-driven work at AxisCare, or the legacy transformation at Texas Farm Bureau - most resonate with your skills and aspirations. Then dive into the specific tech stacks and interview processes to find your match in the Heart of Texas.

Frequently Asked Questions