Top 10 Companies Hiring AI Engineers in Uruguay in 2026

Table of Contents

• Beyond the Salary Band
• Arkano Software
• UruIT
• Accenture Uruguay
• GeneXus (Artech - a Globant Division)
• Tata Consultancy Services (TCS)
• IBM Uruguay
• PedidosYa (Delivery Hero)
• Globant
• dLocal
• Mercado Libre
• Choosing Your AI Future
• Frequently Asked Questions

Arkano Software

Arkano Software is a Montevideo-based Microsoft partner that builds AI solutions for regional industries like retail, agriculture, and legal tech. They sit at an unusual intersection - bridging Uruguay’s deep ranching roots with modern machine learning. You might develop demand forecasting models for soy or beef exports, or build sentiment analysis tools for local retail brands. As noted by Solcre’s analysis of Uruguay’s AI landscape, this kind of domain-specific AI is exactly where Uruguayan engineers can differentiate themselves globally.

What you’ll build. Arkano’s Data & AI department consults across external projects, focusing on the Microsoft Azure stack - Azure Machine Learning, Cognitive Services, and Power BI. Common projects include AI-powered document processing for legal firms and predictive models for agricultural supply chains. Their close ties with Uruguay’s agricultural sector mean you’ll often work with real-time data from farms and ports, a rare opportunity to apply AI to one of the country’s most important industries.

Career ladders and culture. Arkano values certifications and deep Microsoft expertise. Career growth follows a consultant path: Junior AI Engineer → AI Consultant → Senior AI Architect. The company is known for a collaborative, low-politics environment. English proficiency is moderate compared to nearshore-focused firms, but you’ll use it for documentation and client calls. The company actively uses ANII’s R&D tax credits for innovation projects, meaning you’ll occasionally work on government-funded prototypes - a signal that the company invests in experimentation, not just billable hours.

Compensation and Uruguay fit. Mid-level AI engineers at Arkano earn roughly UYU 1,500,000-2,000,000 per year. The company partners with Universidad de la República (UdelaR) for research internships, making it a strong entry point for recent graduates. According to the Microsoft Uruguay IT Talent Report, partnerships between local companies and universities are a key driver of the country’s AI pipeline - and Arkano exemplifies that connection.

UruIT

UruIT is a boutique nearshore development studio based in Montevideo that redefines what it means to build AI for external clients. Unlike traditional staff augmentation firms, UruIT organizes engineers into highly autonomous cross-functional squads - each with a PM, UX designer, and AI Engineer - that own features end-to-end. They work primarily with US and European startups, which means you'll be building AI features from scratch rather than maintaining legacy systems. According to Hire South's guide to Uruguay's tech sector, UruIT stands out for engineers who want to build product, not just features.

What you'll build. Projects span personalized healthcare apps (patient risk scoring), real-time language translation for media platforms, and predictive financial modeling for fintech startups. Because clients are often early-stage, you'll have unusual ownership over the AI roadmap. One engineer might design the data pipeline, train a TensorFlow model, and deploy it to production using Azure Cognitive Services or the OpenAI API. Teams are small - typically 3-5 people - and self-managing. UruIT's famed "Product Mindset" training teaches engineers to act as product owners for AI features, a rare opportunity in the nearshore world.

Career ladders and culture. Career growth is flat but fast. You can go from AI Engineer to Lead AI Engineer in 18 months by shipping successful products. The culture values autonomy and continuous learning - there's no micromanagement. English fluency is mandatory since you'll talk directly with clients. UruIT also encourages contributions to open-source projects, reinforcing its learning-oriented DNA.

Compensation and Uruguay fit. Mid-level AI engineers earn around UYU 1,800,000-2,200,000 per year. The company operates a hybrid model with offices in Montevideo's Ciudad Vieja and remote flexibility. UruIT recruits heavily from ORT Uruguay and Universidad Católica, and frequently sponsors ANII "Uruguay Innovates" projects - a strong signal of commitment to local innovation, as highlighted in Latin America Reports' coverage of Uruguay's innovation programs.

Accenture Uruguay

Accenture's Montevideo delivery center is one of the largest in Latin America, housing thousands of consultants and engineers. Their AI practice is structured into industry-specific "pods" - Retail, Finance, Energy - that pull from a centralized Data & AI talent pool. You might spend six months building a real-time inventory forecasting system for a European retailer, then pivot to automated insurance risk assessment for a US carrier. This variety exposes you to enterprise-grade infrastructure and compliance requirements that most startups simply don't have.

What you'll build. Typical projects include predictive maintenance for manufacturing clients, churn analysis for telecom companies, and computer vision for quality control. Accenture also runs large-scale generative AI initiatives, like custom chatbots for airline customer service. The work is varied but often tightly scoped by client contracts. Your MLflow and Kubeflow expertise will be put to the test in production environments that demand reliability at scale.

Career ladders and culture. Accenture offers a structured ladder from Analyst to Managing Director. Promotions are based on billable hours and client feedback, so you need to balance technical excellence with soft skills. The culture is professional and fast-paced, with a strong emphasis on certifications - a good fit if you value clear progression and resume-building credentials. English is required for most client-facing roles. As noted in Accenture's current job listings, AI roles in Uruguay are actively recruiting for MLOps expertise.

Compensation and Uruguay fit. Senior AI engineers at Accenture Uruguay earn approximately UYU 2,500,000-3,500,000 per year. The company participates in ANII's innovation vouchers and often hires graduates from UdelaR and UCU. Accenture also runs internal AI training programs, making it a solid place to learn MLOps at scale while building a global network. According to Oxford Insights' spotlight on Uruguay's AI adoption, large consultancies like Accenture are critical to driving public-sector AI capacity - a stem worth noting if you want impact beyond the private sector.

GeneXus (Artech - a Globant Division)

GeneXus, the Uruguayan-born software development platform now operating as a division of Globant, is building something rare: an AI engine called "GeneXus Next" that generates full-stack applications from natural language descriptions. This is one of the few places in the world where you'll work on AI that builds software, from Uruguay. Your day-to-day involves fine-tuning large language models for code generation, developing vector databases for retrieval-augmented generation (RAG), and optimizing AI-driven database schema design. The product is developer-facing - you're creating an AI co-pilot for software engineers. According to Globant Enterprise AI's pod-based structure, the GeneXus division operates with the same product-centric DNA, but with deeper roots in Uruguay's tech heritage.

Tech stack and team structure. You'll work primarily with C# and Java, alongside specialized internal LLMs and vector databases like Pinecone. Teams are small, product-focused, and deeply technical - you'll collaborate with UX researchers and domain experts who know the GeneXus ecosystem inside out. The team is based in Montevideo's Zonamerica free zone, one of Uruguay's premier tech hubs offering tax incentives and world-class infrastructure for companies like this one.

Career ladders and culture. Career growth follows a product engineering path: AI Engineer → Senior AI Engineer → AI Architect. Promotions are based on model performance and product impact, not billable hours. The culture is intellectual and research-oriented; the company encourages publishing papers and attending AI conferences. English is important but not mandatory for all roles, making this an accessible entry point for local talent with strong technical skills.

Compensation and Uruguay fit. Mid-level AI engineers earn around UYU 2,000,000-2,800,000 per year. GeneXus is a flagship example of Uruguay's deep tech capability. The company partners with Universidad ORT Uruguay on AI research and has received ANII funding for innovation. As highlighted by Uruguay XXI's coverage of the Deep Tech Radar Latam report, the country's tech ecosystem is increasingly recognized for frontier innovation - and GeneXus sits at its center, building the next generation of coding tools.

Tata Consultancy Services (TCS)

TCS's Uruguay operation is a nearshore delivery center for North American clients, built around scale and 24/7 operational AI. They maintain large teams that handle predictive maintenance for industrial clients, customer churn analysis for telecoms, and computer vision for manufacturing quality control. The environment is process-heavy but offers incredible learning resources - a stem that appeals to engineers who value structure and clear expectations over startup-style autonomy.

What you'll build. Projects are typically long-term contracts with clear milestones. You might develop an ML model to predict equipment failures for a US factory, then monitor its performance in production. TCS also builds custom copilots using Microsoft Azure AI and Google Vertex AI for enterprise clients. Teams are large (10-30 people) with a junior-heavy pipeline feeding into specialized ML leads, giving you exposure to Fortune 500 clients from day one. Your Python, R, and Java skills will be put to work in environments that demand production-grade reliability.

Career ladders and culture. TCS offers a well-defined progression path:

1. Assistant System Engineer
2. Senior Software Engineer
3. IT Analyst
4. Principal Consultant

Promotions are tied to certifications and tenure, making this a strong choice if you value transparent growth criteria. The culture is corporate and globally standardized, but benefits are robust - healthcare, training budgets, and sabbaticals. English proficiency is required for client communication.

Compensation and Uruguay fit. Senior AI engineers earn approximately UYU 2,200,000-3,000,000 per year, consistent with SalaryExpert's Uruguay ML engineer salary benchmarks for senior talent. TCS operates from Montevideo's free trade zones and recruits heavily from UdelaR and Universidad de la República. According to nearshore market analysis of Uruguay's tier-2 LATAM tech position, the country's stable regulatory environment and bilingual talent pool make it an ideal base for global delivery centers like TCS serving North American markets. If you value stability, clear progression, and exposure to massive enterprise clients, this is a stem worth scenting.

IBM Uruguay

IBM has maintained a significant presence in Uruguay for decades, and its Montevideo R&D team works on global product components that power enterprise AI solutions worldwide. The focus areas are IBM Watson, AIOps, and cybersecurity orchestration - meaning your code could end up in IBM's next-generation AI cloud platform serving clients across the globe. As Uruguay's regulatory landscape around AI evolves in 2026, IBM's Montevideo team has become a key hub for Responsible AI frameworks, deploying ethical AI guardrails at enterprise scale. According to Pulitzer Center coverage of Uruguay's AI deployment without a clear legal framework, IBM's global ethical AI standards provide a crucial counterbalance in this regulatory gray zone.

What you'll build. Projects include NLP for enterprise search, AI-driven cybersecurity threat detection, and AIOps for cloud infrastructure management. The tech stack spans IBM Watson, Python, RedHat OpenShift, PyTorch, and Kubernetes. Teams are centralized R&D groups that frequently collaborate with IBM labs in the US and Europe, giving you access to world-class infrastructure and cutting-edge research papers. Unlike consultancy roles, you'll own long-term product components rather than jumping between client projects.

Career ladders and culture. IBM offers a classic technology ladder from Software Engineer to Distinguished Engineer. Promotions are based on technical impact and contributions to IBM's intellectual property. The culture values patents and publications - many engineers in Montevideo have multiple patents filed. IBM Uruguay partners with Universidad ORT for research collaborations and supports ANII-funded PhD programs, reinforcing its academic DNA. English is essential for global collaboration.

Compensation and Uruguay fit. Senior AI engineers earn around UYU 3,000,000-4,000,000 per year. The office is located in Montevideo's Zonamerica free zone, benefiting from the country's stable business environment and tax incentives for tech companies. If you want to work on enterprise-scale AI systems with a focus on responsible deployment, IBM Uruguay offers a rare combination of global impact and local roots.

PedidosYa (Delivery Hero)

PedidosYa, the food delivery giant acquired by Delivery Hero, runs its logistics and optimization hub from Montevideo, managing real-time delivery operations across 15+ countries. You'll build AI models that balance driver supply, order demand, and traffic patterns - models that need to be production-ready and low-latency at massive scale. Core projects include last-mile route optimization, dynamic pricing for delivery fees, and recommendation engines for "dark stores" (DMarts). The team also tackles fraud detection for payment fraud and demand forecasting for restaurants. As noted on PedidosYa's Wikipedia page, the Montevideo office is one of the most important tech centers for the entire Delivery Hero group.

Tech stack and team structure. You'll work with Python, Kotlin, AWS, Databricks, and Snowflake for large-scale data analysis. Teams are embedded within Logistics and Optimization units, reporting to local tech leads. You'll collaborate closely with product managers and data scientists in a fast-paced environment where you might deploy a new pricing model every week. The culture is data-driven and collaborative, with a strong emphasis on experimentation and A/B testing at scale.

Career ladders and culture. Career growth follows a tech lead path: AI Engineer → Senior AI Engineer → Logistics AI Lead. Promotions are based on model impact on key metrics like delivery time and cost per order. The culture rewards shipping quickly and learning from failures, making it a strong fit for engineers who thrive on real-time decision-making. English is required as you'll work with European counterparts at Delivery Hero's headquarters.

Compensation and Uruguay fit. Mid-level AI engineers earn roughly UYU 2,000,000-2,800,000 per year. PedidosYa is headquartered in Montevideo's World Trade Center and recruits heavily from UdelaR and ORT. The company participates in ANII's "U+I" programs for innovation. According to LatamList's coverage of PedidosYa's logistics expansion, the company continues to invest heavily in AI infrastructure across the region - making Montevideo a strategic hub for engineers who want impact at continental scale.

Globant

Globant's "AI Pods" structure reveals much more than a traditional org chart. Instead of a monolithic team, you're placed in a small, cross-functional pod of 3-6 people embedded directly into a client's project, giving you direct exposure to stakeholders and the freedom to shape technical decisions. According to r/devsarg community discussions about the Globant interview process, the hiring pipeline moves from an automated "Talent Experience" screening through 2-3 technical rounds into a client-specific case study.

What you'll build. Projects span generative AI for code (their proprietary product Augoor), computer vision for retail, and predictive analytics for healthcare. You might fine-tune a large language model for a US bank one quarter, then build a recommendation engine for a European retailer the next. Globant also develops internal AI tools like MagnifAI for automated testing. Teams rotate every 6-12 months, which means you'll accumulate an unusually broad portfolio of AI production experience across different cloud ecosystems (AWS, Azure, GCP) and frameworks (TensorFlow, Hugging Face).

Career ladders and culture. Globant's ladder is flat but encourages lateral moves into different "studios" (AI, Cloud, UX). Promotions hinge on client satisfaction and technical impact rather than tenure. The culture values continuous learning, and the company actively uses ANII's innovation grants to fund internal R&D projects. English is essential, as you'll work directly with US and European clients.

Compensation and Uruguay fit. Senior AI engineers earn around UYU 3,000,000-4,000,000 per year. Globant has offices in Montevideo's Zonamerica free zone and partners with local universities for workshops. If you want variety and the chance to work across multiple clients and industries without leaving Uruguay, Globant's AI Pods offer a rare blend of stability and dynamism.

dLocal

stands as Uruguay's homegrown fintech unicorn, processing cross-border payments for global merchants like Amazon, Spotify, and Uber. Their AI Lab, based in Montevideo, tackles problems with millisecond-level stakes: high-precision fraud detection across dozens of emerging markets, dynamic checkout optimization that adapts to user behavior in real time, and automated FX hedging algorithms that minimize currency risk. This is deep fintech AI where latency and accuracy define success or failure. The AI Lab operates as a centralized research unit that scouts emerging technologies, builds proofs-of-concept, then hands off validated solutions to production teams - a structure that lets you spend time researching and prototyping before scaling.

Tech stack and team culture. You'll work with Python, Golang, AWS SageMaker, and Kafka for real-time data streaming. The interview process for AI roles typically follows a 4-stage pipeline: HR screening → Technical (Golang/System Design) → Team/Chemistry → VP/Strategy, as detailed in Glassdoor's dLocal interview reviews. The culture is fast-paced and intellectually rigorous - you'll be expected to stay current with academic papers and contribute to research discussions. English is mandatory due to global team collaboration across the US and Europe.

Career ladders and compensation. Growth follows a research-to-production path: AI Engineer → Senior AI Engineer → AI Lab Lead. Promotions are based on research output and production impact rather than tenure. Senior AI engineers earn approximately UYU 3,500,000-4,500,000 per year, placing dLocal among the highest-paying AI employers in Uruguay. The company is based in Montevideo's Zonamerica free zone and has strong ties with UdelaR and the National Research and Innovation Agency (ANII) for research funding. According to dLocal's LinkedIn posting for an AI Technical Referent, they are actively expanding the AI Lab's capabilities - a clear signal of long-term investment in Uruguay's AI talent.

Mercado Libre

Mercado Libre is Latin America's e-commerce and fintech giant, and its Montevideo office ranks as one of the most important AI hubs outside of Argentina. In 2026, the company is shifting toward "Agentic Commerce" - AI agents that handle bidding, purchasing, and customer interaction autonomously. You'll work on agentic commerce systems where models act on behalf of users, alongside fraud detection for Mercado Pago, LLM-powered financial advisors, and recommendation engines serving the marketplace. The "Machine Learning" team is centralized but embedded within business units like Mercado Pago and Mercado Envíos, meaning you might own a model that serves 100 million users. As detailed in BNamericas' coverage of Mercado Libre's 2026 AI strategy, the pivot toward autonomous agents marks a fundamental shift in how the company approaches AI.

Tech stack and team structure. You'll use Python, Go, Scala, TensorFlow, and PyTorch, alongside an internal MLOps platform called Fury. Teams are hybrid: central ML teams set standards, but embedded AI engineers work closely with product managers and data scientists. The engineering culture is high-ownership, with a strong emphasis on experimentation - you'll deploy frequently and measure impact directly. According to Yahoo Finance's report on Mercado Libre's deepening fintech AI investment, the company is committing billions in AI R&D across Latin America, with Montevideo playing a central role.

Career ladders and compensation. The career path is well-defined: Machine Learning Engineer → Senior MLE → Staff MLE → Principal. Promotions are based on technical impact and mentorship, not tenure. Senior AI engineers earn roughly UYU 4,000,000-5,000,000 per year, making Mercado Libre the highest-paying AI employer in Uruguay. The company is located in Montevideo's World Trade Center and maintains strong partnerships with ORT Uruguay and Universidad Católica. If you want to build agentic AI at massive scale - with real ownership and global impact - this is the stem worth scenting.

Choosing Your AI Future

The farmer at the Feria Tristán Narvaja taught us to scent the stem, not judge the skin. That lesson applies directly to choosing your AI employer in Uruguay. The top-10 list gives you names and salary bands, but the real signals are buried in the details: who owns the roadmap, where models run in production, and how your growth is measured. Mercado Libre offers scale and product ownership. dLocal provides research depth and real-time fintech challenges. Globant hands you variety across industries. PedidosYa gives you logistics at continental scale. Each stem smells different - your job is to find the one that tastes like summer to you.

Beyond the company itself, consider Uruguay's unique advantages as your soil. The country's stable regulatory environment, strong broadband infrastructure, and bilingual talent pool make it a strategic nearshore location for Latin America. Free zones like Zonamerica and the growing ecosystem centered around Montevideo - with companies like dLocal, Globant, GeneXus, Mercado Libre, and PedidosYa - create a density of opportunity unusual for a country of 3.5 million people. According to Solcre's analysis of Uruguay's AI landscape, the 2026 challenge isn't a lack of developers but a shortage of senior, production-ready engineers who can architect scalable systems - meaning your growth trajectory is limited more by your own ambition than by market demand.

So the next time a recruiter sends you a job description, don't just scan the salary band and tech stack. Ask the farmer: Who defines the AI roadmap? Is the team centralized or embedded? How do you measure model impact versus output? What does career growth actually look like here? Those answers reveal the stem. The rest is just skin.

Frequently Asked Questions