Top 10 Companies Hiring AI Engineers in Fort Lauderdale, FL in 2026

Table of Contents

• Introduction to Fort Lauderdale's AI Boom
• Chewy
• Citrix and Cloud Software Group
• UKG
• AutoNation
• American Express
• Motorola Solutions
• Magic Leap
• Spirit Airlines
• Boats Group
• Kaseya
• How to Choose Your Ideal AI Company
• Frequently Asked Questions

Chewy

Operating one of the most sophisticated AI organizations in the Southeast from its Dania Beach and Plantation hubs, Chewy is the premier destination for engineers who want to see their models drive millions of physical actions. Their central AI & Data organization embeds ML engineers into specialized squads - Search, Autoship, Health - to personalize every step of the pet care journey with projects at production scale.

The work involves building massive recommendation engines for food and supplies, complex demand forecasting for a vast inventory, and NLP-powered chatbots that handle significant customer service volume. Engineers leverage a modern stack built on Python, PyTorch, AWS SageMaker, Snowflake, and Kubernetes for model orchestration, solving problems that blend digital logic with real-world supply chain logistics.

This scale and direct business impact command top-tier compensation, with data from salary aggregation sites indicating Senior ML Engineers can earn $151k-$212k in total compensation. For Staff and Principal-level roles pushing the boundaries of personalization, total compensation can reach $228k to over $418k.

The interview process is designed to match this depth, typically moving from an initial screening to technical coding in Python/SQL, a deep-dive into ML theory, and a system design interview focused on architecting scalable, real-world recommendation systems. It’s for the engineer whose ideal output isn't just a metric, but a happy dog and a perfectly timed delivery.

Citrix and Cloud Software Group

As a foundational Fort Lauderdale tech pioneer now under Cloud Software Group, Citrix applies AI to the critical domain of secure, high-performance digital workspaces. Here, engineering focuses on intelligent infrastructure rather than consumer recommendations, tackling predictive analytics for network health, AI-driven anomaly detection for cybersecurity, and automated optimizations for virtual desktops used by over 100 million people globally.

Engineers typically work within Product & Engineering groups, collaborating closely with Cloud and Cybersecurity teams on a stack that includes Python, TensorFlow, Azure AI services, and Go for backend integration. This positions the company within a broader local market boasting hundreds of specialized machine learning roles, with a distinct niche in "zero-trust" environments.

The work’s inherent complexity and security focus is reflected in competitive compensation. According to salary data for the region, Senior Software Engineers earn an estimated $117k-$164k, with Staff and Principal roles reaching $170k-$285k in total compensation. This aligns with regional trends where mid-level AI engineer salaries have risen significantly, outpacing the broader tech market.

The interview process leans heavily on systems design, cloud architecture, and ML theory applied to secure environments. For an AI engineer fascinated by the intersection of machine learning, massive-scale systems, and mission-critical security, Citrix offers a unique and stable frontier right in the heart of Fort Lauderdale’s enterprise tech scene.

UKG

Based in Weston, UKG (Ultimate Kronos Group) leverages AI with a distinct, ethical mandate: to improve the future of work itself. As a global leader in human capital and workforce management software, their large, dedicated AI/ML engineering division focuses on building "Ethical AI" applications that create fairer and more efficient workplaces.

Projects include predictive employee scheduling algorithms, conducting sentiment analysis on feedback via advanced NLP, and developing sophisticated bias-detection systems for hiring and promotions. This focus requires a nuanced blend of technical skill and social awareness, built on a tech stack leveraging Python, Java, and the Google Cloud Platform with Vertex AI and BigQuery.

Compensation reflects the value of this human-centric impact. Estimates for AI engineering roles at UKG range from $130k to over $210k, positioning it as a premier choice for engineers who want their code to have measurable positive impact. This aligns with broader market shifts creating new opportunities in AI for human-centric fields, where technical solutions must address complex social dynamics.

"AI must now be incorporated into every profession, with healthcare being the fastest-growing sector for these roles in South Florida." - Julia Dattolo, President & CEO of CareerSource Palm Beach County

The interview process often includes a behavioral screening, technical assessments, and a case study or take-home project involving real workforce data modeling, testing both algorithmic prowess and ethical consideration.

AutoNation

Headquartered in Fort Lauderdale, AutoNation - the largest automotive retailer in the U.S. - has undertaken a massive digital transformation, creating a high-stakes arena for applied AI. Their Data Science & Analytics Hub builds models that directly manage billions of dollars in physical inventory and customer interactions, turning high-value assets into data-driven profit centers.

Key projects demonstrate this intense, ROI-driven focus: dynamic pricing algorithms for a massive and fluctuating used car inventory, predictive maintenance models for service centers, and computer vision systems for automated vehicle damage assessment. The engineering work here blends Python, R, Azure, and Databricks to solve unique problems at the intersection of e-commerce and traditional retail logistics.

Salaries for AI and data science roles at this local icon are competitive, with estimates ranging from $120k to $185k. The interview process mirrors the business-centric culture, emphasizing practical acumen. Candidates can expect SQL and Python assessments paired with discussions on how a model translates into tangible financial value, reflecting the company's position within a broader Fort Lauderdale market rich with applied AI opportunities.

For an engineer excited by the challenge of applying machine learning to optimize billion-dollar physical operations, AutoNation offers a compelling and locally iconic platform where improvements in model accuracy have immediate, significant financial impact.

American Express

The American Express regional headquarters in Sunrise operates as a powerhouse for financial AI, where engineers work within highly structured "Risk & Information Management" teams on some of the world's richest datasets of consumer spending behavior. The projects here are critical and operate in real-time: deep learning models for sophisticated credit risk scoring, advanced fraud detection networks, and systems for generating hyper-personalized financial offers.

The technical environment is built for massive-scale data processing and security, utilizing Python, Spark, Hadoop, and custom internal MLOps platforms. This aligns with the role being one of the fastest-growing jobs globally, demanding expertise in both cutting-edge ML and robust, auditable systems.

Compensation reflects the high-stakes nature of the work. While lead engineering roles focused on responsible AI implementation are estimated between $98k-$129k, broader 2026 estimates for AI engineering positions at Amex range from $135k to over $220k+, inclusive of performance bonuses. The multi-stage interview process is correspondingly rigorous, featuring heavy quantitative testing, ML theory focused on structured data, and case-based problem-solving designed to identify candidates who can navigate both technical and regulatory complexity.

In this domain, a fractional percentage improvement in model accuracy can mean preventing millions in losses, offering AI engineers a clear, profound line of sight between their code and immense business impact, all from a South Florida base deeply connected to the financial sector.

Motorola Solutions

Motorola Solutions' Plantation innovation center represents a unique frontier where AI meets mission-critical public safety hardware. This isn't cloud-based experimentation; it's the extreme challenge of "AI at the Edge," deploying complex computer vision and audio models directly onto body-worn cameras, in-car systems, and other devices with severe power and processing constraints.

Engineers on the Video Intelligence and Analytics teams tackle projects where latency and reliability are non-negotiable: real-time object and anomaly detection for live video feeds, audio analytics for immediate gunshot detection, and NLP to automate dispatch communications. The tech stack reflects this embedded focus, combining C++, Python, PyTorch, and platforms like NVIDIA Jetson to build solutions that must perform flawlessly in the field.

Salaries for these highly specialized roles are competitive, with estimates ranging from $125k to $195k. This reflects the niche expertise required, as demand grows for engineers who can bridge the gap between advanced ML and hardware constraints, a skill set highlighted within the broader Fort Lauderdale machine learning job market.

The interview process is tailored to this specific domain, delving into computer vision theory, performance-oriented coding in C++ and Python, and system design for edge computing. For the AI engineer passionate about deploying intelligence into the physical world where it can save lives, Motorola Solutions offers a profoundly impactful and technically distinctive career path.

Magic Leap

Despite its evolution, Magic Leap remains a deep-tech anchor in Plantation, continuously pushing the boundaries of spatial computing. For AI engineers, this means venturing beyond refining established business algorithms to solve fundamental perception problems that lack industry-standard answers, placing them among the leading artificial intelligence companies in Florida tackling novel domains.

Teams work on core augmented reality challenges that define how humans interact with blended digital-physical worlds: advanced hand and eye tracking, real-time spatial mapping (SLAM), and generative AI for 3D content creation. The work is inherently research-oriented, demanding a strong foundation in 3D geometry, linear algebra, and custom, silicon-optimized ML frameworks built primarily on C++ and Python.

Compensation is highly competitive for this specialized field, with estimates ranging from $140k to over $230k+. The interview process mirrors the deep-tech focus, often involving discussions of recent computer vision research papers, complex systems architecture for real-time sensor fusion, and rigorous problem-solving in 3D spaces.

Magic Leap is the definitive destination for the engineer driven to invent the core AI that will underpin future augmented reality interfaces, offering a rare opportunity to work on foundational technology from a South Florida base.

Spirit Airlines

With its new headquarters in Dania Beach, Spirit Airlines employs AI as the central nervous system of its ultra-low-cost carrier business model. In an industry where operational efficiency dictates survival, AI engineers work on Commercial Data Science and Operations Research teams to build the optimization engines that fuel everything from dynamic ticket pricing to predictive maintenance, making it a fascinating case study in revenue-generating machine learning.

The projects are intensely practical and directly tied to the bottom line: sophisticated algorithms for dynamic pricing (revenue management), predictive models for flight delays and maintenance needs, and systems to streamline baggage handling and crew scheduling. The tech stack reflects this business focus, centered on Python, SQL, AWS, and visualization tools like Tableau to turn data into actionable insights.

Compensation for these critical roles is estimated between $115k and $175k. The interview process rigorously tests for the blend of skills needed to succeed here, with a strong emphasis on optimization, statistics, and business-case problem-solving. Candidates can typically expect a SQL assessment and scenario-based interviews focused directly on airline profitability challenges.

This role offers a clear view of how AI directly fuels the operational agility of a major airline, all from a headquarters positioned minutes from the Fort Lauderdale-Hollywood International Airport - a prime example of the region's growing integration of AI into foundational industries.

Boats Group

As the world's largest online marketplace for boats, the Boats Group presents a uniquely challenging AI niche based in the South Florida metro. Standard models for cars or homes often fail in the marine world due to highly irregular data, custom features, and a global network of buyers and sellers, placing the company among the top artificial intelligence firms in Florida tackling specialized verticals.

AI engineers here architect custom, product-driven systems to solve problems where off-the-shelf solutions don't apply: building image-based boat classification and valuation tools using computer vision, developing intelligent price suggestion algorithms for a highly variable market, and creating lead-scoring models for brokers. The tech stack leverages Python, AWS SageMaker, and JavaScript for seamless front-end AI integration.

Salaries for these specialized roles are estimated between $120k and $190k, reflecting the value of building custom ML architectures for a passionate, high-value market. The interview process tends to be practical and product-centric, focusing on the full ML lifecycle - from deployment to monitoring - and design sessions that test an engineer's ability to translate business needs in the marine world into technical solutions.

For an engineer who enjoys venturing off the beaten path to solve novel problems, Boats Group offers a distinctive and rewarding challenge that directly capitalizes on South Florida's deep maritime culture and economy.

Kaseya

As a major force in IT management and security software, Kaseya is expanding its AI footprint across the Miami-Fort Lauderdale corridor to automate and secure the digital operations of thousands of businesses. Their security-centric AI teams focus on AIOps projects, building intelligent systems that serve managed service providers (MSPs) and their clients on a massive scale.

Key projects include automated threat detection and remediation systems, predictive ticketing for IT helpdesks to resolve issues before they escalate, and leveraging generative AI to automate script and response generation. The stack is versatile to support this broad mission, involving Python, Java, Azure, and various MLOps tools designed to scale solutions across a vast network.

Salaries for AI engineering roles at Kaseya are estimated between $110k and $180k. The interview process is known for its efficiency and technical depth, often featuring rapid-fire screenings that test both core software engineering fundamentals and applied ML knowledge, reflecting the need for engineers who can build robust, scalable products.

Kaseya is ideal for the engineer who wants to build the AI that, in turn, automates the foundational IT and security workflows of countless other companies. This offers a pathway to broad impact from a South Florida base, contributing to the region's status as a growing hub for enterprise-grade artificial intelligence development.

How to Choose Your Ideal AI Company

Ultimately, the "best" company is not the one universally ranked first, but the one whose specific technical terrain aligns with your expertise and curiosity. Fort Lauderdale’s market is rich with distinct ecosystems, each offering a unique flavor of challenge - from the embedded edge computing at Motorola Solutions to the ethical considerations at UKG and the massive-scale personalization at Chewy.

To make your choice, evaluate beyond the salary band. Consider the core technical problems you want to solve, the tangible impact you seek (whether on a happy pet, a safer community, or a more efficient airline), and the team culture that will help you grow. Remember that over 71% of hiring managers use ATS filters, so understanding and speaking to a company's specific tech stack and projects is crucial for getting noticed.

For those building the foundational skills to enter this vibrant field, accessible pathways exist. Local bootcamps like Nucamp offer focused, affordable programs such as their 25-week Solo AI Tech Entrepreneur bootcamp ($3,980) or 16-week Back End, SQL and DevOps with Python course ($2,124), providing the practical skills to engage with these specialized terrains.

Use this list not as a hierarchy, but as a curated tasting menu - a starting point for discovering where you, specifically, will create the most value and find work that is not just technically demanding, but deeply fulfilling.

Frequently Asked Questions