Top 10 Companies Hiring AI Engineers in Hialeah, FL in 2026

Table of Contents

• Charting Your Course in Miami's AI Boom
• Kaseya
• Jackson Health System
• Ryder System
• Royal Caribbean Group
• Carnival Corporation
• Chewy
• Citadel Securities
• Meta
• Microsoft
• Amazon
• Finding Your Perfect Fit
• Frequently Asked Questions

Kaseya

For AI engineers drawn to practical automation, Kaseya's rapidly scaled Miami headquarters offers a mission to build the "self-healing" IT infrastructure that keeps global businesses running. Engineers here develop AI-powered platforms that preemptively solve tech issues, focusing on projects like natural language IT helpdesks, predictive patch management, and real-time cybersecurity anomaly detection.

The tech stack is modern and product-oriented, heavily utilizing Python, Java, and LLM orchestration tools like LangChain to create robust SaaS solutions. As highlighted in a public conversation with Chief Digital & Information Officer Damon Venger, the company's direction is centered on delivering tangible, real-world automation rather than theoretical models.

The interview process is a multi-stage technical deep dive, emphasizing backend engineering and the seamless integration of AI into business workflows. With estimated salaries for junior to mid-level AI roles between $110k and $160k, the compensation is solid for the Miami market. The compelling draw is the direct, measurable impact of your work - you're engineering the critical systems that thousands of other companies depend on, all from a growing tech hub that's actively hiring for such specialized AI talent.

Jackson Health System

At Jackson Health System, one of the nation's largest public health systems, AI engineering transcends code to directly influence patient outcomes across Miami-Dade County. Engineers and data scientists here tackle sensitive, high-stakes projects that augment clinical workflows, including disease progression modeling for chronic conditions, forecasting patient readmission risks, and developing AI models for advanced medical imaging analysis.

The work demands rigorous adherence to privacy standards, utilizing HIPAA-compliant cloud environments on Azure or AWS. The tech stack is tailored for complex clinical data, often revolving around Python, R, and SQL. The interview process reflects this specialized domain, typically involving clinical case studies to assess problem-solving within a medical context alongside proficiency tests in core technical skills.

With estimated salaries for Data Scientists and ML Engineers ranging from $125k to $170k, the compensation is competitive within the healthcare sector. The unique advantage is profound purpose. Your work supports the doctors and nurses serving the local community, a mission that aligns with the accelerating integration of AI into healthcare, as seen in broader trends like Jefferson Health's collaboration to deepen clinical AI capabilities. In this role, you optimize for human health, building systems that have a tangible impact on the lives of Miami residents.

Ryder System

Headquartered in the Miami metro, Ryder System offers a rare frontier in AI: applying intelligence to a massive, physical network of logistics and fleet management. Engineers here solve concrete, large-scale problems that move the global economy, from building predictive maintenance models for thousands of trucks to creating dynamic route optimization systems that process real-time weather and traffic data.

The tech stack is built for immense data volume, leveraging Python, Databricks, Apache Spark, and Snowflake to power these critical systems. This practical focus is reflected in the interview process, which emphasizes data engineering prowess and real-world optimization challenges. The company's direction is clear, underscored by its public commitment to investing $1.7 billion in AI and tech platforms for logistics.

Salaries for senior AI and data engineering roles are compelling, with an estimated base of $140k to $190k plus performance bonuses. The draw is the unparalleled tangibility and scale of your impact. Unlike optimizing digital feeds, you're fine-tuning the movement of physical goods across continents - a sector where, according to market research on machine learning in supply chains, AI-driven efficiency gains are transforming entire industries from the ground up.

Royal Caribbean Group

Royal Caribbean's "Innovation Lab" in Miami is where the cruise experience undergoes a tech-forward transformation, offering AI engineers a unique playground for computer vision and real-time systems. Projects are visually oriented and immediately impactful, focusing on developing facial recognition for seamless boarding to cut wait times, using computer vision to analyze crowd flow and optimize ship layouts, and implementing AI-based safety monitoring across decks.

The technical environment centers on Python and modern deep learning frameworks like PyTorch, with heavy reliance on specialized computer vision libraries. This focus is evident in their hiring, as the company is actively seeking Senior Gen AI Engineers in Miami to build scalable solutions. The interview process often involves portfolio reviews or technical deep-dives into specific image processing and model deployment challenges.

With senior AI engineer salaries estimated between $135k and $185k base, the role offers strong compensation. The unique, compelling appeal is the "floating smart city" challenge. You're deploying production AI models in a dynamic, enclosed environment that hosts tens of thousands of guests weekly, requiring robust and innovative solutions that have direct parallels to urban AI applications - but on the open sea, where engineering resilience is paramount.

Carnival Corporation

Based near Hialeah, Carnival Corporation serves as its own AI epicenter, driving the digital transformation of the massive cruise industry. Engineers here build systems that personalize every guest's journey while optimizing complex maritime operations, working on key projects like the evolving OceanMedallion wearable ecosystem and AI-driven fuel consumption models that save millions and reduce environmental impact.

The technical environment is versatile, designed to handle diverse data streams from real-time guest interactions to historical operational logs. The stack commonly involves Python, TensorFlow, Azure ML, and SQL, reflecting the need to manage both predictive modeling and large-scale data infrastructure. This applied focus is evident in the region, as the company is part of a broader cluster of large Florida-based companies investing heavily in operational technology.

The interview process tends to blend behavioral questions with a technical take-home or live coding assessment focused on data manipulation and practical problem-solving. Salaries for mid-to-senior AI roles are competitive, estimated between $130k and $180k. The fascinating angle is the scale and specificity of the challenge: you're essentially solving the "smart city" problem - managing personalization, logistics, and resource allocation - but for a city that moves, with all the unique constraints and data streams of global maritime operations.

Chewy

While headquartered in nearby Plantation, Chewy's significant operational footprint in South Florida solidifies its position as a major AI employer for the region. The company is a leader in personalized e-commerce, with AI teams leveraging one of the most passionate and data-rich customer bases available: pet owners. Engineers build sophisticated deep learning models that go beyond simple recommendations to anticipate pet needs, develop supply chain optimization AI, and create advanced NLP models for customer service chatbots.

The technical stack is engineered for scale and complexity, utilizing Python, PyTorch, Spark, and Snowflake to handle massive datasets. The interview process mirrors this rigor, involving coding assessments, deep discussions on ML theory, and product-focused case studies. This aligns with the company's active recruitment for specialized roles, as seen in senior engineering positions that demand strong data architecture skills.

Total compensation for senior AI roles is highly attractive, estimated at $150k to $210k+. The unique, compelling advantage is the quality and depth of the data. As highlighted by industry observers, the loyalty of Chewy's customer base provides an exceptionally rich dataset for building complex, impactful models that genuinely enhance the customer and pet experience, making it a standout environment for applied machine learning.

Citadel Securities

The relocation of Citadel Securities' headquarters to Miami positions the pinnacle of quantitative finance AI directly in South Florida's backyard. Here, AI engineering meets high-stakes, low-latency reality, where engineers and researchers build the world's fastest financial models for high-frequency trading, market microstructure analysis, and reinforcement learning systems for optimal trade execution.

The tech stack is uncompromisingly performance-obsessed, built on C++, Python, custom high-performance computing (HPC) clusters, and hand-optimized ML kernels where microseconds matter. This represents the absolute high-end of applied AI, focusing on solving computationally intensive problems that directly influence global capital markets, as explored in industry analyses of AI in finance.

The interview process is famously elite, rigorously testing advanced mathematics, statistics, and flawless low-latency coding. Compensation exists in its own tier, with estimated total earnings ranging from $250k to well over $500k, heavily influenced by performance. The draw is the unmatched intensity and intellectual firepower of working alongside world-class quants, while your earnings benefit fully from Florida's no-state-income-tax policy, a significant advantage noted by observers of high-compensation tech roles.

Meta

Meta's strategic expansion into Miami has established a crucial hub for some of the region's highest-paying and most specialized AI roles, focusing on the core product challenges that impact billions of users. Engineers here work on massive-scale systems powering Instagram's recommendation feeds, Facebook's ad ranking algorithms, and the advanced computer vision at the heart of Reality Labs products like Quest VR headsets and AR glasses.

The technical environment is deeply integrated with Meta's proprietary ecosystem, featuring heavy use of PyTorch alongside internal tools like Presto and Scuba for data analysis, often coupled with custom AI hardware for optimal performance. The interview process is rigorously tailored to this scale, famously including a specific "Machine Learning System Design" round challenging candidates to architect systems like an ad ranking engine for Instagram, reflecting the company's reorganized focus on new Applied AI engineering.

Compensation reflects the intense demand for this elite talent. According to 2026 data, mid-level (E4) roles command a total compensation around $318k, while senior (E5) engineers can earn between $418k and $483k. This positions Meta as offering some of the most competitive packages in the industry, a premium that aligns with its doubling down on superintelligence initiatives. The dual appeal is powerful: you work on globally defining products while receiving top-tier compensation, all from a Miami base that maximizes take-home pay.

Microsoft

Microsoft's Miami office operates as a strategic nexus, connecting the global Azure AI cloud platform to the booming digital economy of Latin America. For AI engineers, this means working at the forefront of generative AI deployment, building and optimizing the enterprise-grade services within Azure AI that power corporations across the Americas, from multi-lingual NLP models tailored for regional markets to ensuring the relentless scalability of the Azure Machine Learning platform itself.

The technical stack leverages Microsoft's comprehensive ecosystem, including Azure AI Services, Python, C#, PyTorch, and optimization frameworks like DeepSpeed for training large models efficiently. This work supports critical enterprise transformations, such as integrating Copilot capabilities into business workflows, a focus underscored by the company's public suite of AI tools and solutions. This positioning is part of a massive infrastructure commitment, as the company is investing over $80 billion in its next-generation AI infrastructure network.

The interview process typically involves 4-5 rounds, with a significant system design interview focused on architecting high-scale ML pipelines for the cloud. Compensation is substantial, with senior SDE and MLE roles offering an estimated total compensation between $210k and $280k, while principal roles can reach $350k to $450k+. The unique advantage here is the intersection of global platform engineering and regional growth. You're not just building tools; you're creating the foundational platform for AI transformation across two continents, directly contributing to Miami's ascent as a mature tech hub while working on some of the world's most critical cloud infrastructure.

Amazon

Amazon secures its top position due to its dual, dominant presence in the region: as the operator of the foundational AWS cloud that powers global AI, and as a consumer giant applying AI to revolutionize local logistics and e-commerce. Engineers in South Florida might work on core AWS AI services like Amazon SageMaker, contribute to generative AI tools such as Amazon Q for developer automation, or optimize the complex last-mile delivery network serving the tri-county area.

The technical stack is powerful and diverse, utilizing Python, Java, Amazon's custom AI chips like Trainium, and frameworks including MXNet and PyTorch to build at immense scale. This work is central to the industry-wide forecast for massive data center investment driven by AI demand, where building and scaling AWS means shaping the infrastructure upon which virtually every other company depends.

The interview is famously comprehensive, anchored by behavioral questions based on Amazon's "Leadership Principles," followed by intense coding, system design, and ML case study rounds. Compensation is highly competitive; an L5 (SDE II/MLE) can expect a total compensation package of $220k to $270k, while senior L6 roles range from $300k to over $400k. The compelling advantage is unparalleled scope. Whether you're refining the AI that predicts South Florida delivery times or building the core services of AWS, you have a direct hand in both the global AI cloud and hyper-local consumer experiences, all while enjoying the career stability of a tech titan within Miami's dynamic ecosystem.

Finding Your Perfect Fit

Choosing your path in Miami-Hialeah's 2026 AI landscape is about more than salary rankings - it's about aligning your work with the impact you want to see. Will you optimize the physical movement of global commerce with Ryder, build the immersive future with Meta's Reality Labs, or directly enhance community health outcomes at Jackson Health? The right fit is the role where your skills navigate the most meaningful challenges, whether they're in finance, healthcare, logistics, or consumer technology.

Florida's foundational advantage of no state income tax means the competitive salaries offered across this spectrum have exceptional take-home power, a significant financial differentiator from other major tech hubs. This economic benefit, combined with the region's proven growth, reinforces that the local market is, as Refresh Miami noted, maturing into a durable tech hub without slowing its momentum. The 9.2% surge in AI engineer pay is a clear signal of this sustained demand.

Ultimately, this list is your chart, not your destination. Look past the rankings to the horizon of your own career. Your perfect employer isn't merely the highest-ranked company; it's the one whose unique projects, culture, and scale of impact resonate with your professional coordinates, allowing you to build a consequential career from the heart of South Florida's tech ascendance.

Frequently Asked Questions