Top 10 Companies Hiring AI Engineers in Peru in 2026

Table of Contents

• Choosing Your AI Career Path in Peru 2026
• Banco de Crédito del Perú (BCP) / Yape
• Globant
• Grupo Interbank
• Alicorp
• Grupo Falabella (Retail)
• Telefónica / Movistar Perú
• Credicorp (Corporate)
• IBM Peru
• Southern Copper / Mining Sector
• Claro (América Móvil)
• Frequently Asked Questions

Banco de Crédito del Perú (BCP) / Yape

If your core ingredient is a passion for massive, real-time data with societal scale, the premier kitchen is BCP and its fintech arm Yape. The bank's AI "Center of Excellence" has pivoted to a "StreamHouse" architecture using Apache Flink, where models score credit and detect fraud on customer events in milliseconds, a critical evolution for serving Peru's formal and informal economy.

Your day-to-day tech stack is Python, Spark, and SQL on AWS, with SageMaker managing the model lifecycle. You'd join a large team servicing everything from retail banking to Yape's explosive growth, working on high-impact projects like real-time credit scoring for microloans. The environment is fast-paced; the interview process is known to wrap in two weeks and includes cognitive tests, a technical exam, and a complex optimization problem.

Salaries reflect the critical nature of this work, with senior or lead roles reaching 180,000 to 318,000 PEN per year. This role offers a compelling Lima advantage: tackling cutting-edge, Peruvian-specific problems - like formalizing the unbanked - within a stable, major financial institution that is actively modernizing its core infrastructure. It’s where technical scale meets direct societal impact.

Globant

For engineers who crave Silicon Valley-caliber tech stacks without leaving Lima, Globant’s nearshore model is the ideal recipe. This global delivery giant operates local Peruvian pods working directly on the latest international projects, with a heavy focus on Generative AI and LLM orchestration using tools like LangChain and LlamaIndex atop Google Cloud’s Vertex AI.

You might work as a GenAI Engineer within their specialized "AI Studio," building AI agents for customer service or computer vision systems for global retail brands. The interview process is comprehensive, involving behavioral questions, live coding, and a system design presentation, with insights often shared on platforms like Glassdoor.

With salaries for senior roles reaching over 280,000 PEN, Globant competes directly with remote U.S. salaries while providing the community of a Lima office. It’s the perfect blend for those who want their resume to boast international project experience while enjoying Peru’s lower cost of living - a stark contrast to the expenses of hubs like Santiago or São Paulo.

Grupo Interbank

Grupo Interbank's recipe offers a unique flavor: deep integration within the broader Intercorp retail ecosystem, which includes Plaza Vea, Inkafarma, and more. As an AI engineer here, you're synthesizing cross-industry insights to build propensity models that predict whether a customer might need a loan, groceries, or medicine next. This level of integrated data access is a rare ingredient in Latin America's market.

The tech stack revolves around Python, R, SQL, and collaborative platforms like Azure Databricks. The team structure strategically blends a centralized Data & Analytics division with embedded analysts in product squads, offering both community and direct business impact. Interviews reflect this practical focus, testing candidates on banking case studies and technical skills in SQL/Python.

Salaries are competitive with the sector, with lead roles reaching 330,000 PEN. Working at Interbank means tackling Peru-specific financial challenges with a direct line to one of the country's most extensive consumer datasets. For engineers fascinated by end-to-end system thinking, it's a kitchen where you can see how different data ingredients combine to create powerful business insights.

Alicorp

Alicorp's kitchen deals in tangible ingredients, applying AI to the physical world of fast-moving consumer goods (FMCG). Here, engineers tackle complex supply chain and logistics problems across Latin America, from forecasting demand for noodles using LSTM networks to optimizing delivery routes for thousands of products - a domain where predictions from firms like PwC highlight immense AI potential.

The tech stack is Python and SQL on Google Cloud Platform, heavily utilizing BigQuery and Vertex AI. Teams are often embedded directly within Supply Chain or Marketing units, meaning your models directly affect warehouse stock and supermarket shelves. The interview process mirrors this hands-on nature, typically featuring a practical case study focused on supply chain logic.

With senior salaries up to 220,000 PEN, Alicorp offers a compelling path for engineers fascinated by optimization and tangible outcomes. Compared to a pure tech company, you gain deep domain expertise in an industry critical to Peru’s economy, deploying AI that keeps goods moving efficiently from factory to tienda across the region.

Grupo Falabella (Retail)

For AI engineers who want to work at the intersection of data and daily consumer life, Grupo Falabella offers the recipe for powering Andean region e-commerce. You'll be building the AI that drives personalized recommendations, optimizes search rankings, and automates last-mile delivery logistics for platforms like Falabella.com and Tottus, working with one of the largest retail datasets in the region.

The engineering environment is mature, employing a multi-cloud (AWS & GCP) approach with a strong emphasis on production-ready systems. A key ingredient is their use of MLOps practices with MLflow, essential for moving models from experiment to shelf at scale. As noted in industry analyses, expertise in such practices is crucial, with MLOps skills commanding a significant premium in today's market.

Salaries for senior AI roles here can reach 260,000 PEN. For engineers in Lima, this is a chance to solve problems at a scale rivaling larger regional hubs, but within a corporate kitchen that has an intimate, decades-long understanding of the Peruvian and Chilean retail customer.

Telefónica / Movistar Perú

At Telefónica, the AI mission is to understand and serve millions of customers through language. This telecom giant possesses a unique asset: massive, unstructured data from calls and chats. A key focus is developing NLP and voice models tailored to Peruvian Spanish and its regional dialects, powering virtual assistants and customer service analytics. This specialization aligns with growing roles like the NLP Engineer positions emerging in Peru's market.

The tech stack involves Python and Scala, with a historical reliance on Teradata now transitioning to Azure cloud. You’d likely join a large analytics department with specialized units, working on projects like churn prediction or network traffic optimization. The work embodies the industry shift experts note: "The shift is from experimenting with AI to operationalizing it," which in this kitchen means deploying models that understand the nuanced way Peruvians communicate.

With senior salaries reaching 250,000 PEN, as reflected in broader Peruvian machine learning salary ranges, Telefónica provides a stable corporate environment with the data scale of a national infrastructure player. It’s the ideal recipe for linguistically-inclined engineers who want to ensure technology genuinely understands its users.

Credicorp (Corporate)

Credicorp operates at the strategic altitude of a financial ecosystem. As the holding company for BCP, Pacífico Seguros, and Prima AFP, its corporate "Advanced Analytics" team works on enterprise-wide data governance and cross-sell optimization. This is less about building a single model and more about architecting the AI strategy that enables an entire conglomerate, a complex recipe of integration and oversight.

The work involves high-level system design, translating broad business challenges into ML solutions, and fostering partnerships with local universities like UTEC and PUCP for research. This aligns with a market where, according to analysis of Peru's top tech jobs, strategic roles within major conglomerates are highly valued. The tech stack is a mix of Python, R, and modern data platforms like Snowflake.

Salaries are comparable to its subsidiary BCP, with senior roles well over 200,000 PEN. This path is for the engineer who thinks in frameworks and ecosystems, who wants to influence how AI is adopted across multiple major companies from a position of strategic oversight, contributing to large-scale financial inclusion as noted in projects like those recognized for innovation.

IBM Peru

IBM’s Lima office offers a consultative path into the bedrock of enterprise AI. Here, engineers work on client-facing projects across Peru’s key industries - mining, banking, and government - with a focus on implementing IBM Watsonx platforms and establishing robust AI governance for large, regulated clients. This kitchen specializes in bespoke, enterprise-grade solutions.

The tech stack is a deliberate blend of IBM’s own ecosystem, including Watson and Red Hat OpenShift, with open-source tools like Python. The team structure is project-based, offering variety but requiring adaptability to different corporate environments. The multi-stage interview includes a client-simulation case study, testing your ability to bridge complex technology and business needs.

Senior salaries can reach 280,000 PEN, competing with other global firms in Lima. Working at IBM Peru means being at the forefront of hybrid cloud and trusted AI discussions in the country, implementing the kind of governed platforms highlighted by industry guides on enterprise MLOps. It’s a recipe for those who enjoy solving complex, bespoke problems for industry leaders and value the deep R&D backing of a global pioneer, with compensation benchmarks reflected in Lima's technology salary data.

Southern Copper / Mining Sector

The mining sector offers perhaps the most unique and physically grounded AI kitchen in Peru. Companies like Southern Copper deploy specialized teams to work on predictive maintenance, computer vision for safety, and ore grade estimation using "physics-informed AI" that must interpret noisy sensor data from heavy machinery in remote, harsh Andean environments. This work turns raw operational data, which as industry notes generates vast amounts of value when processed with AI, into critical insights.

The tech stack includes Python and MATLAB, with models often deployed via Azure Edge computing due to limited connectivity at mine sites. This is not a typical Lima-based desk job; it involves solving problems with immediate physical and safety implications, sometimes requiring site visits. The interview process rigorously tests your ability to handle imperfect, real-world data from industrial contexts.

The compensation is highly competitive, with senior roles reaching 200,000 to 350,000 PEN, often enhanced by substantial "mine-site" bonuses. For the engineer fascinated by hard tech, industrial applications, and tangible outcomes, it’s an unparalleled and high-reward environment where AI doesn't just optimize clicks but ensures the safety and efficiency of one of Peru's most vital industries.

Claro (América Móvil)

Claro's kitchen specializes in mass-production, applying AI to hyper-personalize the telecommunications experience for a national audience. The analytics teams focus on Customer Value Management (CVM), building models that tailor mobile plans, prevent fraud in prepaid reloads, and optimize network tower locations at a scale covering all Peruvian socioeconomic segments.

The stack is in a compelling transition phase, moving from traditional Oracle systems to modern GCP/AWS clouds. This offers engineers the chance to work on legacy modernization while implementing contemporary MLOps practices - a valuable skillset as specialized operational skills command a premium in the 2026 market. The team structure is corporate and centered on core business functions like marketing and network engineering.

With senior AI salaries up to 220,000 PEN, Claro represents a stable, corporate path in a vital industry. It’s the recipe for engineers who want to see their models directly affect the daily digital experience of millions, honing expertise in personalization and optimization at a truly national scale, where even minor model improvements can impact vast segments of the population.

Frequently Asked Questions