Top 10 Companies Hiring AI Engineers in Lafayette, LA in 2026

Table of Contents

• Welcome to Lafayette's 2026 AI Scene
• Stuller, Inc.
• LHC Group
• ASAP
• Acadian Companies
• University of Louisiana at Lafayette
• Baker Hughes
• Ochsner Lafayette General
• Halliburton Landmark
• SLB
• CGI
• Crafting Your AI Career in Acadiana
• Frequently Asked Questions

Stuller, Inc.

At first glance, a global jewelry manufacturer might seem an unlikely AI frontier. For Stuller, Inc., headquartered right in Lafayette, AI is the engine for managing one of the world's most complex and valuable supply chains. Engineers here apply machine learning to high-stakes problems where precision and aesthetics are paramount.

Key AI projects at Stuller include:

• Computer vision systems that automate the microscopic inspection of precious stones and settings for flaws.
• Sophisticated recommendation engines that help independent jewelers match customers with perfect pieces.
• Logistics and inventory optimization across a global network.

The tech stack typically involves Python, .NET, and modern computer vision libraries, applied within teams focused on e-commerce optimization and high-precision manufacturing automation. As a major local employer, Stuller is consistently hiring for "AI Specialist" roles to modernize these operations.

Working at Stuller means solving unique problems where data intersects with physical craftsmanship. Project cycles align with retail and manufacturing seasons, offering a tangible connection between your model's output and a finished product. With an estimated salary range of $80,000 - $120,000, it's an ideal track for those who want to apply AI in a niche, global manufacturing context while enjoying the stability of a major Acadiana employer.

LHC Group

Headquartered in Lafayette, LHC Group is a national leader in home health, hospice, and community-based care. Their AI mission is profoundly human: keeping patients healthier and safer at home. Engineers and data scientists build models that directly support clinical workflows and improve outcomes for a vulnerable population.

The primary AI applications focus on patient risk stratification, predicting which individuals are most likely to be readmitted to the hospital, and optimizing the complex scheduling and routing for thousands of clinicians visiting homes across the country. This work requires navigating healthcare data privacy (HIPAA) with extreme care and translating model predictions into actionable insights for non-technical clinical staff.

The technical environment heavily utilizes the Microsoft stack (SQL Server, Azure) and healthcare data standards like HL7 and FHIR within centralized data teams. As demand for home-based care grows, LHC Group represents a chance to shape this critical sector from its Acadiana home base. The company is actively seeking talent, with multiple machine learning roles listed for the Lafayette area.

With an estimated salary range of $85,000 - $130,000, roles here offer competitive local compensation, stability, and deep purpose. The culture is mission-driven, focused on improving patient outcomes and supporting caregivers, making it a standout choice for AI professionals who want their work to have immediate, positive human impact.

ASAP

This Lafayette-headquartered delivery platform tackles one of computer science's classic challenges - the traveling salesman problem - at city-wide scale and in real-time. ASAP (formerly Waitr) utilizes AI as the core intelligence for its logistics network, building systems where latency and accuracy directly impact customer satisfaction and operational costs.

AI engineers at ASAP focus on the brains of the operation: developing real-time route optimization algorithms for drivers, dynamic pricing and dispatch systems, and consumer-facing recommendation engines. The tech environment is built for speed, using Python, Go, and cloud-native ML pipelines within product-focused teams that collaborate closely with Product Managers and Backend Developers.

The pace is fast, matching the demands of real-time logistics. Success is measured in minutes saved and delivery efficiency gained. As part of the growing tech scene, companies like ASAP are actively recruiting machine learning talent in Lafayette to solve these practical, high-stakes problems. This work exemplifies how advanced AI isn't just for Silicon Valley but is crucial for everyday services in Acadiana.

With a salary range of $90,000 - $140,000, ASAP offers a classic "tech startup" AI experience grounded in the tangible needs of the regional economy. It's an ideal environment for engineers who thrive on seeing their algorithms directly optimize real-world movement and commerce.

Acadian Companies

As the nation's largest employee-owned ambulance service, Acadian Companies offers a unique proposition in the AI landscape: your work directly benefits the employee-owners serving your community. The focus is on optimizing every aspect of emergency medical services, from dispatch to patient care, using data-driven insights.

AI and data science teams work on critical projects like analyzing real-world medical datasets to improve pre-hospital care protocols and building predictive models to optimize dispatch strategies for its vast fleet of ground and air ambulances. This means projects have immediate, life-saving implications, aiming to reduce response times and improve the quality of information during patient handoffs.

The technical work typically involves SQL Server, Python, and cloud analytics platforms within a centralized IT and Analytics division. The employee-owned structure fosters a culture of collective responsibility and long-term investment in technology that works. For those interested in this mission-driven work, Acadian's careers page lists opportunities in data and analytics.

With salaries averaging $75,000 - $110,000 for data engineering and analyst roles, Acadian provides a rare blend of community impact, employee ownership, and complex, high-velocity data challenges unique to the emergency services domain.

University of Louisiana at Lafayette

For those drawn to the bleeding edge of research, the University of Louisiana at Lafayette (UL Lafayette) is a powerhouse, serving as a major employer for AI research engineers. It’s home to centers like the NSF-funded AHEAD Center (Accessible Healthcare Through AI-Augmented Decisions), where full-time research engineers work alongside PhDs on foundational challenges.

The work here tackles Louisiana's existential challenges, focusing on privacy-preserving AI, coastal resilience modeling, and human-AI integration for public health. The stack is academic and open-source - primarily PyTorch, TensorFlow, and Python - powered by the university's high-performance computing clusters. You'll work in interdisciplinary labs where the primary goals are peer-reviewed publication, patenting innovations, and grant-based breakthroughs.

This is pure research with direct applications, distinct from corporate R&D. Career progression is tied to project grants and research output, offering a different kind of prestige and intellectual freedom. Salaries for staff research positions are competitive, ranging from $70,000 - $115,000+, and are often funded by significant federal and state grants. It’s the ideal track for those who want to publish, patent, and push the boundaries of what's possible in AI from an academic anchor in Acadiana.

Baker Hughes

represents the cutting edge of Industrial AI within the energy sector, with its local Energy Technology division applying machine learning to some of the world's most critical infrastructure. Engineers here leverage the powerful BHC3 suite, developed through a partnership with C3 AI, to build predictive maintenance and operational efficiency tools for turbomachinery and other high-value assets.

The work is intensely focused on "solutioning" - applying AI to solve specific, high-stakes business bottlenecks in reliability and automation. This isn't just data science; it's about connecting AI models to physical hardware and performing root-cause analysis on billion-dollar equipment to prevent failures. Teams are often structured as global Digital Technology units, providing a blend of worldwide scale and deep regional engineering expertise rooted in Acadiana.

The interview process reflects this practical focus, testing both software fundamentals and the crucial ability to translate industrial problems into solvable AI frameworks. For those interested, Baker Hughes details its AI approach online and lists numerous digital technology roles that drive this transformation.

With an estimated salary range of $95,000 - $145,000+, Baker Hughes offers a gateway to the global energy digital transformation from a key operational hub. It's a prime opportunity to see the real-world impact of your models on the efficiency and safety of the global energy supply.

Ochsner Lafayette General

At Ochsner Lafayette General, part of Louisiana's largest healthcare system, AI directly saves lives. The innovationOchsner (iO) team builds and deploys predictive models that operate at the bedside, turning data into proactive clinical interventions. This work represents one of the most impactful applications of machine learning in the region.

Key projects include the renowned Early Warning System that predicts patient deterioration - such as sepsis or cardiac arrest - hours in advance, giving clinicians crucial time to intervene. Other AI tools streamline complex pharmacy operations and prior authorizations. The technical work integrates clinical platforms like Epic with Microsoft Azure and Python within multidisciplinary teams of data scientists, clinicians, and software engineers. You can explore their mission at the innovationOchsner (iO) hub.

The culture is defined by rigorous validation and profound responsibility. Every model must be explainable to doctors and nurses and built with unwavering adherence to HIPAA privacy standards. The development cadence balances rapid iteration with the meticulous pace required for clinical trials and safe implementation. As noted by the American Medical Association, Ochsner provides the AI support physicians are looking for by focusing on practical, bedside tools.

With salaries estimated between $80,000 - $135,000, roles here offer competitive compensation paired with the unmatched satisfaction of knowing your code is actively improving - and often saving - patient lives in your own community.

Halliburton Landmark

Halliburton’s Landmark software division and local engineering centers are at the heart of the "Digital Oilfield," where AI is the essential tool for interpreting the earth itself. Here, engineers build sophisticated models for seismic processing, earth modeling, and production optimization, turning petabytes of sensor data from thousands of feet underground into actionable insights for energy exploration and extraction.

The technical environment uniquely blends data science with geoscience, utilizing Python, R, and Java alongside proprietary Landmark software frameworks integrated with cloud ML platforms. You’ll work in domain-specialized teams alongside geoscientists and petroleum engineers, requiring a rare ability to bridge deep learning algorithms with deep earth science principles. This interdisciplinary approach is crucial for projects that directly impact the efficiency and environmental footprint of global energy production.

The interview process for these roles, often listed under titles like Technical Professional (Data Science), rigorously tests algorithm efficiency and the skill of interpreting complex physical sensor data. With salaries commanding $120,000 - $150,000 for these positions, and senior data engineer roles reaching even higher, Halliburton offers the chance to work on some of the world's most consequential energy challenges from a key Lafayette hub.

SLB

(formerly Schlumberger) takes the energy AI challenge to a monumental scale, applying high-performance computing and cloud-native machine learning to some of the industry's most demanding problems. Their Lafayette-based digital technology teams focus on areas like autonomous drilling, advanced geoscience modeling, and predictive maintenance for subsea equipment, where the "ground truth" for your models is literally thousands of feet below the seabed.

The work demands a stack built for performance and integration with massive physical datasets: Python, C++, and cloud platforms like Azure and GCP. Teams are deeply integrated, with AI engineers co-located with domain experts in geophysics and petroleum engineering. This fosters a collaborative, technically rigorous culture where translating algorithmic output into operational insight is paramount. The interview process is a multi-stage deep dive into ML theory as applied to these real-time, physical systems.

This specialized work commands top-tier compensation. According to SLB's salary data, Machine Learning Engineer roles range from $123,000 to $168,000, with full-stack and cloud software engineering roles in similar brackets. For details on technical career progression, levels.fyi provides further breakdowns.

SLB represents the pinnacle of energy sector AI in Acadiana, offering global impact, cutting-edge problems, and compensation that rivals major coastal tech hubs - all significantly amplified by Lafayette's lower cost of living.

CGI

In the Lafayette AI landscape, CGI stands as the foremost employer for engineers seeking scale and enterprise impact. The company's major Global Delivery Center here focuses on the 2026 mandate of operationalizing AI, moving beyond prototypes to build secure, scalable, production-grade systems for federal and commercial modernization projects.

The work involves a mature, enterprise-focused tech stack including Microsoft Azure AI Services, Databricks, Python, and Terraform for infrastructure as code. Engineers operate within a matrixed structure that includes dedicated MLOps and AI Solution Architect teams, following agile and DevOps principles to ensure robust CI/CD pipelines for AI. You can see this in action through specific AI Engineer roles at CGI in Lafayette that emphasize deploying reliable solutions.

The culture, frequently noted in employee reviews for emphasizing "ownership, teamwork, and respect," is built around delivering trustworthy systems that modernize government and corporate workflows. Career progression is clearly defined, from entry-level positions to senior architect roles, offering a pure tech career path that competes directly with national firms without leaving Acadiana.

CGI tops our list because it combines high-stakes technical work with exceptional local compensation. Salaries range from around $61,447 for entry-level roles to up to $198,400 for senior architects, with AI Engineers typically earning between $63,700 and $156,700. This creates a compelling value proposition: enterprise-scale AI work with compensation that, coupled with Lafayette's low cost of living, delivers exceptional purchasing power and career growth.

Crafting Your AI Career in Acadiana

Choosing your track in Lafayette's AI scene isn't about picking the number one spot on a chart. It's about listening for resonance. Do you hear it in the life-saving cadence of a hospital’s early warning system, in the seismic rumble of a new geological model, or in the hum of global IT infrastructure modernizing at scale? Each company represents a different frequency in Acadiana's tech soundscape, blending deep domain expertise with the transformative power of AI.

Your career here will be a mix you produce yourself. To begin composing it, building the right foundational skills is key. For those in Acadiana looking to transition into this vibrant field, bootcamps like Nucamp's Solo AI Tech Entrepreneur program offer an accessible on-ramp. With programs focused on practical AI skills, Python, and cloud deployment starting at $2,124, they provide an affordable alternative to traditional degrees and are specifically designed for career changers targeting local industries.

As one Nucamp graduate noted, "It offered affordability, a structured learning path, and a supportive community of fellow learners" - a crucial combination for breaking into tech. With a ~78% employment rate and flexible schedules that include local community workshops, such pathways are tailored to help you build the portfolio needed to land a role at the companies on this list.

The stage in Acadiana is set. From the energy giants to the healthcare innovators and enterprise tech leaders, the local tracks are ready for your blend. Set your tempo, find your frequency, and start mixing a career where your work doesn't just exist in the cloud - it resonates throughout the community.

Frequently Asked Questions