Top 10 Companies Hiring AI Engineers in Andorra in 2026

Table of Contents

• Introduction: Andorra’s AI Trail Map
• Andorra Telecom
• Creand
• MoraBanc
• Govern d'Andorra
• Deloitte Andorra
• Capgemini
• Vall Banc
• Caropticom
• Bismart
• RocheGrup Softwares
• Choosing Your Line Down the Mountain
• Frequently Asked Questions

Andorra Telecom

As the national telecom operator, Andorra Telecom is the silent backbone behind almost every WhatsApp message from Andorra la Vella to Encamp. For AI engineers, it is also the country’s densest, most complete stream of real-time data - a whole-country sandbox you rarely see in larger markets.

AI-native infrastructure

Following a full-stack BSS/OSS migration with Netcracker on AWS, the company shifted from classic reporting to AI-native orchestration. Total Telecom’s coverage of this AWS rollout highlights how cloud-native architecture now underpins everything from billing to network analytics, giving ML teams low-latency access to telecom-grade datasets.

The core stack combines AWS, Python, TensorFlow 3.x, and Kubernetes for edge deployments. Typical projects include:

• Predictive maintenance for fiber and mobile infrastructure
• 5G network-slicing optimisation using forecasting and reinforcement learning
• Customer-churn prediction and personalised offers across mobile and broadband

A practical assignment might see you build a multivariate time-series model to predict cell-tower failures 24-48 hours ahead, then ship it as a containerised microservice running close to the radio network.

Team, salaries and working style

The central AI group counts roughly 15-20 specialists (ML engineers, network data scientists, MLOps). Salary bands sit around €45k-€55k for juniors, €60k-€75k for mid-level roles, and €85k+ for seniors, with stability bonuses mirroring public-sector norms.

Benchmarked against nearby Toulouse, packages are reported to be 15-20% higher on a gross basis, and Andorra’s roughly 10% personal income tax ceiling means net pay often exceeds what you would keep in France. Day to day, you balance deep-infrastructure ML with vendor collaboration across the region, while living full-time in the Pyrenees rather than a ring-road business park.

Who thrives here

This environment suits engineers who enjoy low-level systems, streaming data, and strict latency budgets more than constant product pivots. If building smart-country infrastructure sounds more appealing than tweaking ad-click models, Andorra Telecom is one of the most interesting “black runs” on the local AI trail map.

Creand

In Escaldes-Engordany, Creand (Crèdit Andorrà) has quietly become Andorra’s flagship for AI in private banking. Recognised as the “Best Private Bank in Andorra” by the Financial Times Group, a distinction highlighted in their awards announcement, it pairs old-school wealth management with an explicitly “AI-first” strategy.

AI focus and tech stack

The core stack is a hybrid of Azure and on-prem infrastructure, with Python, R, and mature MLOps pipelines to satisfy banking regulators. In its own article on AI and private banking, Creand outlines how machine learning is reshaping portfolio management, risk, and client interaction.

• Hyper-personalised portfolio rebalancing and dynamic risk scoring
• Automated Anti-Money Laundering (AML) anomaly detection
• Catalan- and Spanish-language virtual financial assistants for affluent clients

A typical project might see you design a gradient-boosted risk model that flags suspicious cross-border transaction patterns, then plug it into a human-in-the-loop workflow to align with EU-style AML rules while keeping false positives manageable for compliance teams.

Team, compensation and career path

Creand runs a central Data & AI Centre of Excellence of about 12 specialists, supporting embedded quants in private-banking units. Salary bands are attractive by Pyrenean standards: juniors around €48k-€58k, mid-levels at €65k-€80k, and seniors at €90k+, often with profit-sharing and performance bonuses layered on top.

Fit for analytically minded polyglots

The environment suits engineers who enjoy quantitative finance, model governance, and the ethics of Responsible AI more than rapid-fire consumer apps. Day to day, you will likely collaborate in Catalan or Spanish with front-office teams, then switch to English for tooling, research, and vendor calls with partners in Barcelona, Geneva, or Luxembourg - while keeping Andorra’s low-tax, mountain lifestyle as your home base.

MoraBanc

Among Andorra’s banks, MoraBanc is the one most visibly reinventing its retail and SME business around digital channels. For AI engineers based in Andorra la Vella or Escaldes, it offers a concrete way to shape how everyday residents experience loans, cards, and the mobile app they open on the bus to Encamp.

Retail banking, rebuilt with data

MoraBanc’s AI work sits on a pragmatic stack: Python with Scikit-learn and XGBoost for modelling, Snowflake as a central warehouse, and Power BI as the main window for business stakeholders. This mirrors the kind of production-ready tooling highlighted in Kellton’s AI tech stack 2026 guide, favouring proven frameworks over experimental ones for risk-critical decisions.

• Credit-scoring models for retail customers and local SMEs
• Next-best-action engines inside the MoraBanc mobile app
• Fraud-detection models that account for cross-border card usage

A typical project might have you build and tune an XGBoost model to predict credit-card default risk in Andorra’s dual-season economy, where ski and summer tourism drive sharp, predictable swings in income and spending.

Team structure and salary bands

The AI and analytics team is compact, at roughly 8-12 ML engineers and data analysts who work closely with product and risk. This resembles the “lean, centralised” model of data teams described by Data Science PM’s overview of centralised vs. decentralised data science structures. Salary-wise, juniors typically earn €42k-€52k, mid-levels €58k-€72k, and seniors around €80k-€95k. While Barcelona roles may post slightly higher gross pay, Andorra’s roughly 10% income tax cap often levels - or even reverses - the net outcome.

Who this slope is for

MoraBanc suits engineers who like end-to-end responsibility: building data pipelines, training models, and then shaping the dashboards and APIs that business teams actually use. If you want your work to be visible in the hands of everyday Andorrans rather than hidden in back-office systems, this is one of the more rewarding lines down the mountain.

Govern d'Andorra

Step outside the banks and telcos, and the largest single buyer of AI talent in the country is the state itself. Under the Andorra Digital banner, the Govern d’Andorra is turning public services into an applied AI playground where your models shape everyday life in Andorra la Vella, Encamp, or Ordino.

Public services as an AI laboratory

The technology stack is deliberately open: Python, PyTorch, and classic data-engineering tools, with a heavy emphasis on multilingual NLP tailored to Catalan, Spanish, and French. Typical initiatives mirror the kinds of smart-territory projects highlighted in rankings of Andorra’s AI ecosystem, but at national scale.

• Multilingual chatbots that triage citizen questions and route requests to the right department
• Traffic and parking prediction around ski weekends and border queues
• Health analytics using de-identified datasets for planning and prevention

A concrete example: you might train a PyTorch-based classifier that reads citizen emails and categorises them across ministries, while enforcing local data-protection rules and language nuances that off-the-shelf models ignore.

Team model and compensation

AI specialists sit inside individual ministries (Health, Tourism, Finance) but are coordinated by a central digital unit, a structure very close to the “hub-and-spoke” model described in Brian Curry’s overview of modern data & AI organisations. Senior ML roles generally pay around €75k-€85k, supplemented by public-sector advantages such as long-term job security, generous leave, and pension-style benefits.

Who fits the Andorra Digital slope

Permanent roles typically require or strongly favour Catalan, especially if you interact with policy-makers or citizens. This path suits engineers who care about accessibility and equity, and who are willing to trade some private-sector upside for stability and visible social impact. If you would rather optimise ski-bus routes and hospital capacity than click-through rates, the Govern d’Andorra offers one of the most meaningful lines on the local AI trail map.

Deloitte Andorra

Consulting is the steepest, most variable run on Andorra’s AI trail map, and Deloitte’s local office is the main lift. Embedded in the firm’s North South Europe cluster, Deloitte Andorra lets you live in the valleys while delivering projects for banks, telcos, retailers and public bodies across the wider region.

AI consulting focus and tech stack

The local analytics and risk teams work almost entirely on enterprise AI: Azure AI, Azure OpenAI, and retrieval-augmented generation for internal and client-facing tools. This aligns with the shift that Gloat’s AI workforce trends report describes, where engineers are pulled from pure model-building into higher-value, cross-functional work.

• “Agentic” AI assistants for legal, tax, and regulatory compliance
• Supply-chain optimisation for import-heavy Andorran retailers and distributors
• ESG and climate-risk modelling for banks and utilities operating across the Pyrenees

A typical engagement might have you build a RAG chatbot over thousands of pages of Andorran and EU banking regulations, so compliance officers can ask natural-language questions while every answer is logged for audit and model-governance reviews.

Career profile, salaries and fit

AI engineers here are consultants first: client-facing, presentation-heavy, and often travelling to Barcelona or Toulouse for workshops. Salary bands sit around €40k-€50k for junior consultants and €90k-€130k for senior/manager grades, with a meaningful variable bonus component tied to utilisation and project performance. As with other Deloitte offices, candidates can expect multi-stage assessments and partner interviews, a process echoed in Glassdoor’s consulting interview reviews.

If you enjoy variety over depth on a single dataset, are curious about governance and risk, and like the idea of switching industries every few months while keeping Andorra as your base camp, Deloitte Andorra offers one of the most dynamic lines on the mountain.

Capgemini

Capgemini is the big-systems integrator behind many of the Pyrenees’ quieter digital transformations. For AI engineers based in Andorra, it offers access to complex migrations and cross-border platforms while officially sitting in a “regional Pyrenees” unit rather than a single city office.

Enterprise-scale AI and MLOps

The core stack mirrors what many integrators consider the modern production toolkit: AWS and GCP for cloud, PyTorch for modelling, and MLflow-style tooling for experiment tracking and deployment. This is very close to the full-stack setup described in AppZoro’s overview of the best AI/ML tech stacks, where reproducibility and cloud-native design trump experimental frameworks.

• Cloud-native BSS/OSS and data-platform migrations for telcos and utilities
• Using LLMs to wrap and modernise legacy ERP and mainframe systems
• Consolidating data platforms for clients active across Andorra, Catalonia and Occitania

Team structure and compensation

Capgemini’s Pyrenees unit is large by local standards, with 50+ engineers and consultants, and specialist squads seconded into Andorra for long projects. Compensation follows Barcelona/Toulouse salary bands, often topped up with “displaced worker” allowances or flexible-remote arrangements if you choose to live in Andorra for tax and lifestyle reasons.

Who this line suits

The work feels more like long, technical expeditions than quick sprints: multi-year programmes, strict SLAs, and heavy coordination with client teams. If you enjoy blending solid software engineering with applied ML and want your skills to line up with what many engineers call the modern AI tech stack, Capgemini is one of the clearest routes from Andorra into large-scale European infrastructure work.

Vall Banc

Where Andorra’s retail banks focus on local cards and mortgages, the former Vall Banc platform - now operating within the J. Safra Sarasin group - plays in a different league. From its base in Andorra, this node plugs into a global Swiss-led private-banking network, giving AI engineers exposure to cross-border portfolios and genuinely institutional data.

Quant-heavy private banking work

The tech stack revolves around Python plus proprietary financial-modelling tools, all deployed on tightly controlled on-premises infrastructure. Projects sit close to the markets desk rather than marketing:

• Algorithmic-trading support via signal generation and risk overlays
• High-net-worth client sentiment analysis from structured and unstructured sources
• Cross-jurisdictional risk and tax-efficiency modelling for complex portfolios

This fits the broader pattern KPMG highlights in its AI Pulse report: financial institutions are moving beyond pilots to embed AI directly into investment decision-making and risk processes.

Team, pay and daily reality

The Andorra-based group is small but wired into global quant, risk, and trading teams. English is the default for internal collaboration, while Spanish or Catalan appear in local client meetings. Pay is aligned with international private-banking expectations: mid-to-senior AI roles typically sit between €85k-€110k, influenced by Swiss benchmarks rather than Iberian ones.

Who should consider this slope

This environment suits engineers who are comfortable with heavy compliance, meticulous SDLC, and the pressure of models that can move real capital. If your ideal week blends factor modelling, backtesting frameworks, and discussions about portfolio construction rather than product funnels, this is one of the most technically demanding - and financially rewarding - lines on Andorra’s AI trail map, squarely in the “top AI finance jobs” tier that global observers like IGM Guru’s AI careers analysis describe.

Caropticom

Not every AI job in Andorra is about bank ledgers or telecom logs. Caropticom (Opticom Technology) sits in a completely different lane: using computer vision to make second-hand cars look as good online as they do on the forecourt, for marketplaces across Europe.

Computer vision for car remarketing

Caropticom’s own ML Engineer role in Andorra highlights a tight focus on image upscaling and segmentation rather than generic analytics. The stack centres on TensorFlow, Keras, PyTorch and OpenCV, all tuned for high-throughput, production-grade image processing.

• Pixel-accurate segmentation to isolate vehicles from messy backgrounds
• Automatic enhancement: denoising, colour correction, and super-resolution
• Quality-scoring models to rank dealer photos before they hit listings

A hands-on example: you might design and train a UNet-style architecture in PyTorch on thousands of dealer shots, then wrap it in a low-latency microservice that processes every new upload in milliseconds as part of a global pipeline.

Team shape, pay and rhythm

The AI group is small and senior-heavy: ML engineers and data scientists working closely with product rather than big layers of management. Senior salaries typically land around €75k-€90k, comfortably above many Southern European CV roles once Andorra’s roughly 10% tax cap is factored in.

Caropticom is remote-friendly, expecting roughly one week in Andorra every two months for in-person collaboration. That fits the broader shift toward hybrid, borderless teams highlighted by platforms tracking remote AI engineer jobs in Andorra, where companies tap Pyrenean-based talent for pan-European products.

Who this line suits

If you love computer vision, prefer focused product work over consulting, and want small-team autonomy with a mostly-remote cadence anchored in Andorra, Caropticom offers one of the most distinctive niche runs on the local AI map.

Bismart

Where most Andorran AI roles orbit banks or telecoms, Bismart gives you a different view of the mountain: Microsoft-centric consulting that jumps between tourism, government and corporate clients, all from a small local pod hooked into a wider Iberian team.

Azure-first AI and BI consulting

Bismart’s value proposition is simple and focused: build usable intelligence on top of the Microsoft stack. Day to day, you are deep in Azure Machine Learning, Cognitive Services, SQL Server and Power BI, assembling solutions that business users can actually drive.

• Forecasting hotel occupancy, lift usage and demand curves for the tourism sector
• Designing Big Data and reporting platforms for Andorran public bodies
• Embedding light-weight NLP and recommendation models directly into BI dashboards

This “data plus UX” blend is typical of regional leaders profiled in global rundowns of the best AI consulting companies, where practical integration often matters more than exotic models.

Team size, expectations and salary positioning

Bismart operates with roughly 50-249 staff across the region and an Andorra-based consulting pod focused on tourism and public-sector work. Hiring emphasises hands-on Azure experience and BI storytelling: you are as likely to walk through a dashboard design as to explain a loss function. Compensation tends to track Spanish consulting rates, but once you factor in Andorra’s lower overall tax burden and living costs, net take-home often compares favourably with big-city roles in Barcelona or Madrid.

Who should ride this line

If you enjoy being the bridge between raw data and decision-makers - less pure research, more “make this dashboard answer real questions” - Bismart is a strong fit. You will move between sectors, work closely with non-technical stakeholders, and contribute to the same startup-lean ecosystem that rankings like StartupBlink’s Andorra lists describe, while keeping your tooling firmly inside the Microsoft world.

RocheGrup Softwares

In Ordino’s quieter streets, far from the traffic of Andorra la Vella, RocheGrup Softwares builds software and AI products for clients that rarely see the Pyrenees. It is a global technology partner with deep local roots, regularly cited in rankings of top AI companies in Andorra, and one of the few outfits here where Web3 and applied machine learning meet in everyday work.

AI at the edge of Web3

The core stack combines Python, Node.js, and blockchain tooling, with AI models wrapped around on-chain data. Typical engagements include:

• End-to-end AI product development for international SaaS and fintech clients
• Blockchain-AI convergence, such as anomaly detection on on-chain transactions
• Smart-contract analytics and predictive tools for DeFi and broader Web3 platforms

A concrete example: you might design a graph-based anomaly-detection pipeline in Python that flags suspicious wallet behaviour across a DeFi protocol, then expose it via a Node.js microservice consumed by a global crypto client. The expectation that you can move from data engineering to model design to API integration mirrors the “full-stack AI engineer” profile described in MinIO’s guide to the modern AI polymath.

Team shape, compensation and lifestyle

RocheGrup runs as an agile shop of roughly 10-49 people, organised into small squads that own entire projects. Compensation is described as market-competitive for Southern Europe, with freelance-to-perm paths common for senior hires who start as external consultants before joining the core team. Work is remote-flexible, with periodic in-person sprints in Ordino - a rhythm that aligns well with the fully remote and hybrid roles listed on platforms like MeetFrank’s Andorra job boards.

If you want agency-style variety, are curious about blockchain beyond the hype, and prefer a small mountain town to a big-city campus, RocheGrup offers one of the most eclectic and globally connected lines on Andorra’s AI trail map.

Choosing Your Line Down the Mountain

At some point, every Andorra-based AI engineer ends up in that gondola moment: list in hand, terrain outside. Ten companies, dozens of roles, one life. The trick is not to find “the best employer,” but the line that fits your legs, your languages, and your appetite for exposure.

Turn the ranking into a decision engine

Instead of chasing a single number, treat the top-10 like a routing tool. Ask yourself what you actually want to optimise:

• Infrastructure and scale: pick national data and ops at Andorra Telecom or multi-year migrations with Capgemini.
• Finance and compensation: lean into Creand, MoraBanc or the Vall Banc / J. Safra Sarasin node for quant-heavy work.
• Public impact: head toward Andorra Digital projects at the Govern or Azure-driven government work with Bismart.
• Autonomy and niche domains: explore computer vision at Caropticom or Web3-AI at RocheGrup.

Factor in flexibility beyond the valley

Andorra’s advantage is not only employer choice but optionality. Many engineers mix local contracts with remote work for foreign companies, helped by the explosion of distributed teams and global listings of remote machine learning roles. That lets you spend most days in Andorra la Vella or Ordino while plugging into product squads in Berlin, London, or beyond.

Upskilling for your chosen line

If you are still building towards these roles, structured training helps convert ambition into a runnable line. Nucamp’s programmes are designed for that: AI Essentials for Work (15 weeks, €3,295) targets practical AI use on the job, while other paths in web development, cybersecurity and full-stack engineering offer durations from 4 to 22 weeks at prices far below the €10,000+ many bootcamps charge. Outcomes matter too: an employment rate around 78%, a graduation rate near 75%, and roughly 4.5/5 stars on Trustpilot with 80% five-star reviews signal that affordability does not mean cutting corners.

Eventually, like in that early-morning Grandvalira cabin, you fold the printout away. You know that local banks, telcos, consultancies, niche shops and remote employers are all viable. You look out at the contours - your skills, risk tolerance, family situation, and how much Catalan or Spanish you want to use - and pick a line that is not “number one on the list,” but simply yours.

Frequently Asked Questions