20 publicaciones de empleo destacadas de ai full stack en madrid, md (¡Están contratando!)

Data and AI Lead - Agentic Tax Processes and Platforms
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McKinsey & Company —Madrid, Madrid provincia
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Bain & Company Inc —Lisboa
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Mistral AI —Madrid, Madrid provincia
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Pluxee —Madrid, Madrid provincia
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IQVIA —Madrid, Madrid provincia
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Happyrobot Inc. —Madrid, Madrid provincia
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Deliverect —Madrid, Madrid provincia
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Senior Full-Stack Engineer (.net, Vue.js)
Frontiers Media —Madrid, Madrid provincia
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Accenture —Madrid, Madrid provincia
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Data and AI Lead - Agentic Tax Processes and Platforms

EY -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

Azure
Informática
Bootstrap
Sistemas ERP
Java
SQL
C++
Grado
Machine learning
Scripting
Reclutamiento
GitHub
ServiceNow
Escalabilidad
Cloud
Gestión eficiente
Inteligencia artificial
Habilidades de comunicación
Python

Descripción completa del empleo

Location: Madrid

Other locations: Anywhere in Region

Salary: Competitive

Date: Jul 31, 2026

Job description

Requisition ID: 1720099

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

EY’s Global Tax Centre of Excellence Data & AI team play a prominent role in leading client transformation initiatives that leverage Data & AI as core capabilities. The CoE seeks to architect reusable patterns and process blueprints to bootstrap scalability across all the EY Tax technology teams in all key markets.

You will have an existing opportunity to stay on the leading edge of technology development and to contribute to the successful transformation of EY tax and its clients.

Role Purpose

The Data & AI Lead role is responsible for designing and architecting agentic tax workflows, underpinned by AI‑ready data products and robust data engineering.

This role sits at the intersection of:

Tax domain understanding
Data architecture and engineering
Applied AI and agent orchestration

It ensures that agents are fed with trusted, timely, well‑structured data and are deployed in a way that scales across clients and platforms.

Key Responsibilities but not limited to:

Agentic Workflow & AI Design

Design agentic workflows for tax processes, including:
- task‑level agent responsibilities
- agent‑to‑agent communication patterns
- human‑in‑the‑Loop and escalation models
- feedback loops and agent performance monitoring and evaluations
- Define reusable agent blueprints aligned to Lean‑derived task definitions
- Apply leading edge agentic driven design and build methodologies eg. use of Codex, Factory ai, GitHub Copilot

Data Architecture & AI‑Ready Data Products

Design and oversee the build of AI‑ready data marts that:
- expose tax data at the right grain
- maintain lineage and quality controls
- support deterministic and probabilistic reasoning
Lead data ingestion and transformation from:
- ERP systems
- tax platforms
- semi‑structured documents
- external data sources

Agent Governance & Security

Apply design led thinking to embed agent and workflow governance and security:
- Ensure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365)
- Design and embedded real time controls and risk monitoring

Platform Strategy

Architect solutions deployable:
- within client environments (e.g. ServiceNow with workflow‑orchestrated agents), and
- within EY‑hosted platforms
Ensure EY retains reusable IP through:
- agent blueprints
- data mart patterns
- orchestration logic
- delivery assets eg. design and build agents
- security & governance blueprints

CoE & Asset Development

Act as technical authority within the CoE
Develop reference architectures, patterns, and accelerators
Support PoCs, pilots, and scaled deployments

Required Experience & Background

Bachelor's degree in computer science engineering or equivalent work experience. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.
15+ years’ experience across data architecture, data engineering, and analytics including building SQL database, database designing and data modelling.
Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph.
Strong grounding in:
- data modelling
- data governance and quality
- large‑scale data integration
Hands‑on experience applying AI/ML or advanced analytics in production environments
Proficient in programming or scripting languages: for instance, C++, Java, Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).
Comfortable working with both business stakeholders and data & ai engineers
Experience shaping technical strategy and operating models
Strong verbal and written communication skills
Excellent problem solving skills and unsatiable desire to learn and keep up with technology developments.

Desirable Experience

Prior work in Tax Technology or Finance platforms
Experience with agentic AI concepts, orchestration, or workflow‑driven automation
Exposure to cloud‑based data platforms and modern AI stacks

Success Measures

Quality and reusability of AI‑ready data marts
Stability and scalability of agent deployments
Speed from Lean design to working agent
Reuse of assets across clients and service lines

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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ai full stack empleos en madrid, md

Data and AI Lead - Agentic Tax Processes and Platforms

Azure Cloud & Dev Architect

Fullstack Engineer Sr

Account Executive Digital, Edu

Security Engineer - Node.js Proactive Defense (worldwide remote, work anywhere)

Senior Site Reliability Engineer - Logging & Monitoring, Madrid (M, ES)

Senior AI Integration & Automation Engineer

Director of Growth & Demand Generation (Full-Stack Marketing Leader)

Principal Software Engineer - QuantumBlack, AI by McKinsey

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Principal Developer/Solution Architect

AI Deployment Strategist

Software Engineering Manager

Senior Generative AI Engineer

SOC Analyst

Head of IT & Procurement

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Senior Product Software Engineer

Arquitecto Devops/SDLC - Github Actions

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